repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/mixtral/benchmark.py | examples/language/mixtral/benchmark.py | # modified from llama benchmark
import argparse
import resource
import time
import warnings
from contextlib import nullcontext
import torch
import torch.distributed as dist
from data_utils import RandomDataset
from model_utils import format_numel_str, get_model_numel
from performance_evaluator import PerformanceEvalua... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/mixtral/performance_evaluator.py | examples/language/mixtral/performance_evaluator.py | from time import time
from typing import Optional
import torch
import torch.distributed as dist
from torch import Tensor
from torch.profiler import ProfilerActivity, profile, schedule, tensorboard_trace_handler
from colossalai.cluster import DistCoordinator
from colossalai.utils import get_current_device
def divide... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/auto_offload/model_zoo.py | examples/language/gpt/experiments/auto_offload/model_zoo.py | import torch
import torch.nn as nn
from transformers import GPT2Config, GPT2LMHeadModel
class GPTLMModel(nn.Module):
def __init__(self, hidden_size=768, num_layers=12, num_attention_heads=12, max_seq_len=1024, vocab_size=50257):
super().__init__()
self.model = GPT2LMHeadModel(
GPT2Conf... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/auto_offload/train_gpt_offload.py | examples/language/gpt/experiments/auto_offload/train_gpt_offload.py | import argparse
import time
import pytest
import torch
from model_zoo import GPTLMLoss, get_gpt2_components
from torch.utils._pytree import tree_map
import colossalai
from colossalai.accelerator import get_accelerator
from colossalai.auto_parallel.offload.amp_optimizer import AMPOptimizer
from colossalai.auto_paralle... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/auto_parallel/auto_parallel_with_gpt.py | examples/language/gpt/experiments/auto_parallel/auto_parallel_with_gpt.py | from functools import partial
from time import time
import psutil
import torch
import transformers
from gpt_modules import GPT2LMHeadModel, GPTLMLoss
from colossalai.auto_parallel.tensor_shard.initialize import autoparallelize
from colossalai.initialize import launch_from_torch
from colossalai.legacy.core import glob... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/auto_parallel/gpt_modules.py | examples/language/gpt/experiments/auto_parallel/gpt_modules.py | from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
from transformers.activations import ACT2FN
from transformers.models.gpt2.modeling_gpt2 import BaseModelOutputWithPastAndCrossAttentions, GPT2PreTrainedModel
from transformers.pytorch_utils import Conv1D
class GPT2MLP(nn.Module):
def __... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/pipeline_parallel/model_zoo.py | examples/language/gpt/experiments/pipeline_parallel/model_zoo.py | from torch import nn
from transformers import GPT2Config, GPT2LMHeadModel
## Define the Model and Loss Based on Huggingface transformers GPT2LMHeadModel
class GPTLMModel(nn.Module):
def __init__(
self,
hidden_size=768,
num_layers=12,
num_attention_heads=12,
max_seq_len=1024... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/experiments/pipeline_parallel/train_gpt_pp.py | examples/language/gpt/experiments/pipeline_parallel/train_gpt_pp.py | import argparse
import time
from functools import partial
import torch
from model_zoo import model_builder
from torch import nn
from colossalai.fx import ColoTracer
from colossalai.fx.passes.adding_split_node_pass import gpipe_dp_split_pass, split_with_split_nodes_pass
from colossalai.fx.passes.meta_info_prop import ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/train_gpt.py | examples/language/gpt/titans/train_gpt.py | import argparse
import contextlib
import os
import torch
import torch.nn as nn
from dataset.webtext import WebtextDataset
from titans.model.gpt import GPTLMLoss
import colossalai
import colossalai.utils as utils
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/model/pipeline_gpt1d.py | examples/language/gpt/titans/model/pipeline_gpt1d.py | import inspect
# import model_zoo.gpt.gpt as col_gpt
import titans.model.gpt.gpt as col_gpt
import torch
import torch.nn as nn
from colossalai import kernel
from colossalai import nn as col_nn
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
fro... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/model/embed.py | examples/language/gpt/titans/model/embed.py | import torch
import torch.nn.init as init
from torch import Tensor
from torch import nn as nn
from torch.nn import functional as F
from torch.nn.parameter import Parameter
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context import ParallelMode, seed
from colossalai.legacy.core import glob... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/model/gpt1d.py | examples/language/gpt/titans/model/gpt1d.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
import torch
from torch import Tensor
from torch import nn as nn
from colossalai import kernel
from colossalai import nn as col_nn
from colossalai.kernel.cuda_native.scaled_softmax import AttnMaskType
from colossalai.legacy.core import global_context as gpc... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/model/__init__.py | examples/language/gpt/titans/model/__init__.py | from .embed import vocab_parallel_cross_entropy
from .gpt1d import *
from .pipeline_gpt1d import *
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/dataset/webtext.py | examples/language/gpt/titans/dataset/webtext.py | import json
import os
from typing import Optional
import torch
from torch.utils.data import Dataset
from transformers import GPT2Tokenizer
from colossalai.legacy.registry import DATASETS
@DATASETS.register_module
class WebtextDataset(Dataset):
def __init__(self, path: Optional[str] = None, seq_len=1024) -> None... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/configs/gpt3_zero3_pp1d.py | examples/language/gpt/titans/configs/gpt3_zero3_pp1d.py | from model import GPT3_pipeline_hybrid
from colossalai.nn.optimizer import HybridAdam
from colossalai.zero.shard_utils import TensorShardStrategy
BATCH_SIZE = 192
NUM_EPOCHS = 60
SEQ_LEN = 2048
NUM_MICRO_BATCHES = 192
HIDDEN_SIZE = 12288
TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, HIDDEN_SIZE)
# if you... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/titans/configs/gpt2_small_zero3_pp1d.py | examples/language/gpt/titans/configs/gpt2_small_zero3_pp1d.py | from model import GPT2_small_pipeline_hybrid
from colossalai.nn.optimizer import HybridAdam
from colossalai.zero.shard_utils import TensorShardStrategy
BATCH_SIZE = 8
NUM_EPOCHS = 10
SEQ_LEN = 1024
NUM_MICRO_BATCHES = 4
HIDDEN_SIZE = 768
TENSOR_SHAPE = (BATCH_SIZE // NUM_MICRO_BATCHES, SEQ_LEN, HIDDEN_SIZE)
# if you... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/hybridparallelism/finetune.py | examples/language/gpt/hybridparallelism/finetune.py | import argparse
from contextlib import nullcontext
from typing import Callable, List, Union
import evaluate
import torch
import torch.distributed as dist
import torch.nn as nn
from data import GLUEDataBuilder
from torch.optim import Optimizer
from torch.optim.lr_scheduler import _LRScheduler as LRScheduler
from torch.... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/hybridparallelism/benchmark.py | examples/language/gpt/hybridparallelism/benchmark.py | import argparse
import resource
from contextlib import nullcontext
import torch
from torch.distributed.fsdp.fully_sharded_data_parallel import CPUOffload, MixedPrecision
from torch.optim import Adam
from tqdm import tqdm
from transformers.models.gpt2.configuration_gpt2 import GPT2Config
from transformers.models.gpt2.m... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/hybridparallelism/data.py | examples/language/gpt/hybridparallelism/data.py | import datasets
from transformers import AutoTokenizer, PreTrainedTokenizer
from colossalai.booster.plugin.dp_plugin_base import DPPluginBase
class GLUEDataBuilder:
task_text_field_map = {
"cola": ["sentence"],
"sst2": ["sentence"],
"mrpc": ["sentence1", "sentence2"],
"qqp": ["que... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/gemini/train_gpt_demo.py | examples/language/gpt/gemini/train_gpt_demo.py | import argparse
import os
from contextlib import nullcontext
from functools import partial
from time import time
import psutil
import torch
import torch.nn as nn
from commons.model_zoo import model_builder
from commons.performance_evaluator import get_profile_context
from commons.utils import get_data, get_tflops, get... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/gemini/commons/model_zoo.py | examples/language/gpt/gemini/commons/model_zoo.py | from torch import nn
from transformers import GPT2Config, GPT2LMHeadModel
## Define the Model and Loss Based on Huggingface transformers GPT2LMHeadModel
class GPTLMModel(nn.Module):
def __init__(
self,
hidden_size=768,
num_layers=12,
num_attention_heads=12,
max_seq_len=1024... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/gemini/commons/utils.py | examples/language/gpt/gemini/commons/utils.py | import time
import torch
class DummyProfiler:
def __init__(self):
self.step_number = 0
def step(self):
self.step_number += 1
# Randomly Generated Data
def get_data(batch_size, seq_len, vocab_size):
input_ids = torch.randint(0, vocab_size, (batch_size, seq_len), device=torch.cuda.curren... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/gpt/gemini/commons/performance_evaluator.py | examples/language/gpt/gemini/commons/performance_evaluator.py | from time import time
from typing import Optional
import torch
import torch.distributed as dist
from torch import Tensor
from torch.profiler import ProfilerActivity, profile, schedule, tensorboard_trace_handler
from colossalai.cluster import DistCoordinator
from colossalai.utils import get_current_device
def divide... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/deepseek/data_utils.py | examples/language/deepseek/data_utils.py | import json
import random
from typing import Iterator, Optional
import numpy as np
import torch
from torch.distributed import ProcessGroup
from torch.distributed.distributed_c10d import _get_default_group
from torch.utils.data import DataLoader, Dataset, DistributedSampler
from colossalai.accelerator import get_accel... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/deepseek/model_utils.py | examples/language/deepseek/model_utils.py | from contextlib import contextmanager
import torch
import torch.nn as nn
@contextmanager
def low_precision_init(target_dtype: torch.dtype = torch.float16):
dtype = torch.get_default_dtype()
try:
torch.set_default_dtype(target_dtype)
yield
finally:
torch.set_default_dtype(dtype)
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/deepseek/benchmark.py | examples/language/deepseek/benchmark.py | # modified from mixtral benchmark
import argparse
import resource
import time
import warnings
from contextlib import nullcontext
from types import MethodType
import torch
import torch.distributed as dist
from data_utils import RandomDataset
from model_utils import format_numel_str, get_model_numel
from peft import Lor... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/deepseek/performance_evaluator.py | examples/language/deepseek/performance_evaluator.py | from time import time
from typing import Optional
import torch
import torch.distributed as dist
from torch import Tensor
from torch.profiler import ProfilerActivity, profile, schedule, tensorboard_trace_handler
from colossalai.cluster import DistCoordinator
from colossalai.utils import get_current_device
def divide... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/llama/data_utils.py | examples/language/llama/data_utils.py | import json
import random
from typing import Iterator, Optional
import numpy as np
import torch
from torch.distributed import ProcessGroup
from torch.distributed.distributed_c10d import _get_default_group
from torch.utils.data import DataLoader, Dataset, DistributedSampler
from colossalai.accelerator import get_accel... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/llama/model_utils.py | examples/language/llama/model_utils.py | from contextlib import contextmanager
import torch
import torch.nn as nn
@contextmanager
def low_precision_init(target_dtype: torch.dtype = torch.float16):
dtype = torch.get_default_dtype()
try:
torch.set_default_dtype(target_dtype)
yield
finally:
torch.set_default_dtype(dtype)
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/llama/benchmark.py | examples/language/llama/benchmark.py | import argparse
import resource
import time
import warnings
from contextlib import nullcontext
import torch
import torch.distributed as dist
from data_utils import RandomDataset
from model_utils import format_numel_str, get_model_numel
from performance_evaluator import PerformanceEvaluator, get_profile_context
from to... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/examples/language/llama/performance_evaluator.py | examples/language/llama/performance_evaluator.py | from time import time
from typing import Optional
import torch
import torch.distributed as dist
from torch import Tensor
from torch.profiler import ProfilerActivity, profile, schedule, tensorboard_trace_handler
from colossalai.cluster import DistCoordinator
from colossalai.utils import get_current_device
def divide... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/setup.py | setup.py | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/conftest.py | conftest.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/.github/scripts/assign_reviewers.py | .github/scripts/assign_reviewers.py | # coding=utf-8
# Copyright 2025 the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/scripts/stale.py | scripts/stale.py | # Copyright 2021 The HuggingFace Team, the AllenNLP library authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/scripts/check_tokenizers.py | scripts/check_tokenizers.py | from collections import Counter
import datasets
import transformers
from transformers.convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from transformers.tokenization_utils_base import PreTrainedTokenizerBase
from transformers.utils import logging
logging.set_verbosity_info()
TOKENIZER_CLASSES = {
name: (g... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/scripts/distributed/torch-distributed-gpu-test.py | scripts/distributed/torch-distributed-gpu-test.py | #!/usr/bin/env python
#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 to... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/benchmark/benchmarks_entrypoint.py | benchmark/benchmarks_entrypoint.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/benchmark/benchmark.py | benchmark/benchmark.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/benchmark/__init__.py | benchmark/__init__.py | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false | |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/benchmark/optimum_benchmark_wrapper.py | benchmark/optimum_benchmark_wrapper.py | import argparse
import subprocess
def main(config_dir, config_name, args):
subprocess.run(
["optimum-benchmark", "--config-dir", f"{config_dir}", "--config-name", f"{config_name}"]
+ ["hydra/job_logging=disabled", "hydra/hydra_logging=disabled"]
+ args
)
if __name__ == "__main__":
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/benchmark/benches/llama.py | benchmark/benches/llama.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/masking_utils.py | src/transformers/masking_utils.py | # coding=utf-8
# Copyright 2025 HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_utils.py | src/transformers/modeling_utils.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Facebook AI Research authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/feature_extraction_sequence_utils.py | src/transformers/feature_extraction_sequence_utils.py | # Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/audio_utils.py | src/transformers/audio_utils.py | # Copyright 2023 The HuggingFace Inc. team and the librosa & torchaudio authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/training_args_seq2seq.py | src/transformers/training_args_seq2seq.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/core_model_loading.py | src/transformers/core_model_loading.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/model_debugging_utils.py | src/transformers/model_debugging_utils.py | # Copyright 2025 The HuggingFace Inc. team.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer_seq2seq.py | src/transformers/trainer_seq2seq.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/file_utils.py | src/transformers/file_utils.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/safetensors_conversion.py | src/transformers/safetensors_conversion.py | from typing import Optional
import httpx
from huggingface_hub import Discussion, HfApi, get_repo_discussions
from .utils import cached_file, http_user_agent, logging
logger = logging.get_logger(__name__)
def previous_pr(api: HfApi, model_id: str, pr_title: str, token: str) -> Optional["Discussion"]:
main_comm... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/image_processing_utils.py | src/transformers/image_processing_utils.py | # Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/cache_utils.py | src/transformers/cache_utils.py | from abc import ABC, abstractmethod
from collections.abc import Iterable
from typing import Any, Optional
import torch
from .configuration_utils import PreTrainedConfig
from .utils import (
is_hqq_available,
is_quanto_greater,
is_torch_greater_or_equal,
is_torchdynamo_compiling,
logging,
)
if is... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/dependency_versions_check.py | src/transformers/dependency_versions_check.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/hf_argparser.py | src/transformers/hf_argparser.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/dependency_versions_table.py | src/transformers/dependency_versions_table.py | # THIS FILE HAS BEEN AUTOGENERATED. To update:
# 1. modify the `_deps` dict in setup.py
# 2. run `make deps_table_update``
deps = {
"Pillow": "Pillow>=10.0.1,<=15.0",
"accelerate": "accelerate>=1.1.0",
"av": "av",
"beautifulsoup4": "beautifulsoup4",
"blobfile": "blobfile",
"codecarbon": "codecar... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/time_series_utils.py | src/transformers/time_series_utils.py | # Copyright 2023 The HuggingFace Inc. team.
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_flash_attention_utils.py | src/transformers/modeling_flash_attention_utils.py | # Copyright 2025 The Fairseq Authors and the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer_pt_utils.py | src/transformers/trainer_pt_utils.py | # Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/processing_utils.py | src/transformers/processing_utils.py | # Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/image_processing_base.py | src/transformers/image_processing_base.py | # Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/tokenization_mistral_common.py | src/transformers/tokenization_mistral_common.py | # Copyright 2025 Mistral AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/initialization.py | src/transformers/initialization.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer_utils.py | src/transformers/trainer_utils.py | # Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer_callback.py | src/transformers/trainer_callback.py | # Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_attn_mask_utils.py | src/transformers/modeling_attn_mask_utils.py | # Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/hyperparameter_search.py | src/transformers/hyperparameter_search.py | # Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/feature_extraction_utils.py | src/transformers/feature_extraction_utils.py | # Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/dynamic_module_utils.py | src/transformers/dynamic_module_utils.py | # Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/training_args.py | src/transformers/training_args.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py | src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py | # Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/image_processing_utils_fast.py | src/transformers/image_processing_utils_fast.py | # Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/convert_slow_tokenizer.py | src/transformers/convert_slow_tokenizer.py | # Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_layers.py | src/transformers/modeling_layers.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/image_utils.py | src/transformers/image_utils.py | # Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer_jit_checkpoint.py | src/transformers/trainer_jit_checkpoint.py | import os
import signal
import threading
from typing import Optional
from .trainer_callback import TrainerCallback
from .trainer_utils import PREFIX_CHECKPOINT_DIR
from .utils import logging
logger = logging.get_logger(__name__)
class CheckpointManager:
def __init__(self, trainer, kill_wait: int = 3):
... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/optimization.py | src/transformers/optimization.py | # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/debug_utils.py | src/transformers/debug_utils.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/video_processing_utils.py | src/transformers/video_processing_utils.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/tokenization_python.py | src/transformers/tokenization_python.py | # Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_gguf_pytorch_utils.py | src/transformers/modeling_gguf_pytorch_utils.py | # Copyright 2024 The ggml.ai team and The HuggingFace Inc. team. and pygguf author (github.com/99991)
# https://github.com/99991/pygguf
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/tokenization_utils_base.py | src/transformers/tokenization_utils_base.py | # base
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/trainer.py | src/transformers/trainer.py | # Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_outputs.py | src/transformers/modeling_outputs.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/testing_utils.py | src/transformers/testing_utils.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/__init__.py | src/transformers/__init__.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/conversion_mapping.py | src/transformers/conversion_mapping.py | # coding=utf-8
# Copyright (C) 2025 the HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/video_utils.py | src/transformers/video_utils.py | # coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modelcard.py | src/transformers/modelcard.py | # Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/pytorch_utils.py | src/transformers/pytorch_utils.py | # Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/modeling_rope_utils.py | src/transformers/modeling_rope_utils.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/tokenization_utils_sentencepiece.py | src/transformers/tokenization_utils_sentencepiece.py | # Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/image_transforms.py | src/transformers/image_transforms.py | # Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/activations.py | src/transformers/activations.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/configuration_utils.py | src/transformers/configuration_utils.py | # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the Licens... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/tokenization_utils_tokenizers.py | src/transformers/tokenization_utils_tokenizers.py | # Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | true |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/loss/loss_utils.py | src/transformers/loss/loss_utils.py | # Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/loss/loss_grounding_dino.py | src/transformers/loss/loss_grounding_dino.py | # Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
huggingface/transformers | https://github.com/huggingface/transformers/blob/a7f29523361b2cc12e51c1f5133d95f122f6f45c/src/transformers/loss/loss_rt_detr.py | src/transformers/loss/loss_rt_detr.py | # Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | python | Apache-2.0 | a7f29523361b2cc12e51c1f5133d95f122f6f45c | 2026-01-04T14:38:15.407064Z | false |
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