text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
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<!--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 applicable law or agreed to... | diffusers/docs/source/en/api/pipelines/kandinsky.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/kandinsky.md",
"repo_id": "diffusers",
"token_count": 850
} | 100 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/api/pipelines/pix2pix.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/pix2pix.md",
"repo_id": "diffusers",
"token_count": 707
} | 101 |
<!--Copyright 2024 The Intel Labs Team Authors and 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... | diffusers/docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/ldm3d_diffusion.md",
"repo_id": "diffusers",
"token_count": 1196
} | 102 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/optimization/memory.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/memory.md",
"repo_id": "diffusers",
"token_count": 4133
} | 103 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/training/dreambooth.md/0 | {
"file_path": "diffusers/docs/source/en/training/dreambooth.md",
"repo_id": "diffusers",
"token_count": 8848
} | 104 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/tutorials/tutorial_overview.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/tutorial_overview.md",
"repo_id": "diffusers",
"token_count": 412
} | 105 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/using-diffusers/loading.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/loading.md",
"repo_id": "diffusers",
"token_count": 8497
} | 106 |
<!--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 applicable law or agreed... | diffusers/docs/source/en/using-diffusers/t2i_adapter.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/t2i_adapter.md",
"repo_id": "diffusers",
"token_count": 2765
} | 107 |
<!--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 applicable law or agreed... | diffusers/docs/source/ko/conceptual/ethical_guidelines.md/0 | {
"file_path": "diffusers/docs/source/ko/conceptual/ethical_guidelines.md",
"repo_id": "diffusers",
"token_count": 4083
} | 108 |
<!--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 applicable law or agreed... | diffusers/docs/source/ko/stable_diffusion.md/0 | {
"file_path": "diffusers/docs/source/ko/stable_diffusion.md",
"repo_id": "diffusers",
"token_count": 8885
} | 109 |
<!--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 applicable law or agreed... | diffusers/docs/source/ko/using-diffusers/controlling_generation.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/controlling_generation.md",
"repo_id": "diffusers",
"token_count": 14036
} | 110 |
# Textual inversion
[[open-in-colab]]
[`StableDiffusionPipeline`]은 textual-inversion을 지원하는데, 이는 몇 개의 샘플 이미지만으로 stable diffusion과 같은 모델이 새로운 컨셉을 학습할 수 있도록 하는 기법입니다. 이를 통해 생성된 이미지를 더 잘 제어하고 특정 컨셉에 맞게 모델을 조정할 수 있습니다. 커뮤니티에서 만들어진 컨셉들의 컬렉션은 [Stable Diffusion Conceptualizer](https://huggingface.co/spaces/sd-concepts-libra... | diffusers/docs/source/ko/using-diffusers/textual_inversion_inference.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/textual_inversion_inference.md",
"repo_id": "diffusers",
"token_count": 2018
} | 111 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 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/LI... | diffusers/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py/0 | {
"file_path": "diffusers/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py",
"repo_id": "diffusers",
"token_count": 38517
} | 112 |
import inspect
from typing import Any, Dict, List, Optional, Union
import torch
import torch.nn as nn
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor
from diffusers import DiffusionPipeline
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import StableDiffusionLoraL... | diffusers/examples/community/gluegen.py/0 | {
"file_path": "diffusers/examples/community/gluegen.py",
"repo_id": "diffusers",
"token_count": 16726
} | 113 |
from typing import Union
import torch
from PIL import Image
from torchvision import transforms as tfms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
... | diffusers/examples/community/magic_mix.py/0 | {
"file_path": "diffusers/examples/community/magic_mix.py",
"repo_id": "diffusers",
"token_count": 2446
} | 114 |
# 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... | diffusers/examples/community/sd_text2img_k_diffusion.py/0 | {
"file_path": "diffusers/examples/community/sd_text2img_k_diffusion.py",
"repo_id": "diffusers",
"token_count": 8535
} | 115 |
# Based on stable_diffusion_reference.py
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import numpy as np
import PIL.Image
import torch
from diffusers import StableDiffusionXLPipeline
from diffusers.models.attention import BasicTransformerBlock
from diffusers.models.unets.unet_2d_blocks import... | diffusers/examples/community/stable_diffusion_xl_reference.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_xl_reference.py",
"repo_id": "diffusers",
"token_count": 18953
} | 116 |
# DreamBooth training example for FLUX.1 [dev]
[DreamBooth](https://arxiv.org/abs/2208.12242) is a method to personalize text2image models like stable diffusion given just a few (3~5) images of a subject.
The `train_dreambooth_flux.py` script shows how to implement the training procedure and adapt it for [FLUX.1 [dev... | diffusers/examples/dreambooth/README_flux.md/0 | {
"file_path": "diffusers/examples/dreambooth/README_flux.md",
"repo_id": "diffusers",
"token_count": 2350
} | 117 |
import argparse
import logging
import math
import os
from pathlib import Path
import jax
import jax.numpy as jnp
import numpy as np
import optax
import torch
import torch.utils.checkpoint
import transformers
from flax import jax_utils
from flax.training import train_state
from flax.training.common_utils import shard
f... | diffusers/examples/dreambooth/train_dreambooth_flax.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_flax.py",
"repo_id": "diffusers",
"token_count": 11967
} | 118 |
# Kandinsky2.2 text-to-image fine-tuning
Kandinsky 2.2 includes a prior pipeline that generates image embeddings from text prompts, and a decoder pipeline that generates the output image based on the image embeddings. We provide `train_text_to_image_prior.py` and `train_text_to_image_decoder.py` scripts to show you ho... | diffusers/examples/kandinsky2_2/text_to_image/README.md/0 | {
"file_path": "diffusers/examples/kandinsky2_2/text_to_image/README.md",
"repo_id": "diffusers",
"token_count": 4393
} | 119 |
import os
import random
import torch
import torchvision.transforms as transforms
from PIL import Image
def recalculate_box_and_verify_if_valid(x, y, w, h, image_size, original_image_size, min_box_size):
scale = image_size / min(original_image_size)
crop_y = (original_image_size[1] * scale - image_size) // 2
... | diffusers/examples/research_projects/gligen/dataset.py/0 | {
"file_path": "diffusers/examples/research_projects/gligen/dataset.py",
"repo_id": "diffusers",
"token_count": 1897
} | 120 |
import argparse
import itertools
import math
import os
import random
from pathlib import Path
from typing import Iterable
import numpy as np
import PIL
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.utils import ProjectConfiguration, set_se... | diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/textual_inversion.py/0 | {
"file_path": "diffusers/examples/research_projects/intel_opts/textual_inversion_dfq/textual_inversion.py",
"repo_id": "diffusers",
"token_count": 18301
} | 121 |
## Diffusers examples with ONNXRuntime optimizations
**This research project is not actively maintained by the diffusers team. For any questions or comments, please contact Prathik Rao (prathikr), Sunghoon Choi (hanbitmyths), Ashwini Khade (askhade), or Peng Wang (pengwa) on github with any questions.**
This aims to ... | diffusers/examples/research_projects/onnxruntime/README.md/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/README.md",
"repo_id": "diffusers",
"token_count": 134
} | 122 |
import os
from typing import List
import faiss
import numpy as np
import torch
from datasets import Dataset, load_dataset
from PIL import Image
from transformers import CLIPImageProcessor, CLIPModel, PretrainedConfig
from diffusers import logging
logger = logging.get_logger(__name__) # pylint: disable=invalid-name... | diffusers/examples/research_projects/rdm/retriever.py/0 | {
"file_path": "diffusers/examples/research_projects/rdm/retriever.py",
"repo_id": "diffusers",
"token_count": 3929
} | 123 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 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/LI... | diffusers/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py/0 | {
"file_path": "diffusers/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py",
"repo_id": "diffusers",
"token_count": 19445
} | 124 |
[tool.ruff]
line-length = 119
[tool.ruff.lint]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "F402", "F823"]
select = ["C", "E", "F", "I", "W"]
# Ignore import violations in all `__init__.py` files.
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]... | diffusers/pyproject.toml/0 | {
"file_path": "diffusers/pyproject.toml",
"repo_id": "diffusers",
"token_count": 286
} | 125 |
# Script for converting a Hugging Face Diffusers trained SDXL LoRAs to Kohya format
# This means that you can input your diffusers-trained LoRAs and
# Get the output to work with WebUIs such as AUTOMATIC1111, ComfyUI, SD.Next and others.
# To get started you can find some cool `diffusers` trained LoRAs such as this cu... | diffusers/scripts/convert_diffusers_sdxl_lora_to_webui.py/0 | {
"file_path": "diffusers/scripts/convert_diffusers_sdxl_lora_to_webui.py",
"repo_id": "diffusers",
"token_count": 1027
} | 126 |
import argparse
import os
import torch
from safetensors.torch import load_file
from transformers import AutoModel, AutoTokenizer
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, LuminaNextDiT2DModel, LuminaText2ImgPipeline
def main(args):
# checkpoint from https://huggingface.co/Alpha-VLLM/... | diffusers/scripts/convert_lumina_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_lumina_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 3156
} | 127 |
# Run this script to convert the Stable Cascade model weights to a diffusers pipeline.
import argparse
from contextlib import nullcontext
import torch
from safetensors.torch import load_file
from transformers import (
AutoTokenizer,
CLIPConfig,
CLIPImageProcessor,
CLIPTextModelWithProjection,
CLIPV... | diffusers/scripts/convert_stable_cascade.py/0 | {
"file_path": "diffusers/scripts/convert_stable_cascade.py",
"repo_id": "diffusers",
"token_count": 3605
} | 128 |
# 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... | diffusers/setup.py/0 | {
"file_path": "diffusers/setup.py",
"repo_id": "diffusers",
"token_count": 3910
} | 129 |
# 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... | diffusers/src/diffusers/loaders/ip_adapter.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/ip_adapter.py",
"repo_id": "diffusers",
"token_count": 8065
} | 130 |
# 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... | diffusers/src/diffusers/models/attention.py/0 | {
"file_path": "diffusers/src/diffusers/models/attention.py",
"repo_id": "diffusers",
"token_count": 22931
} | 131 |
# Copyright 2024 HunyuanDiT Authors, Qixun Wang and 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... | diffusers/src/diffusers/models/controlnet_hunyuan.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnet_hunyuan.py",
"repo_id": "diffusers",
"token_count": 7435
} | 132 |
# 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... | diffusers/src/diffusers/models/resnet_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/resnet_flax.py",
"repo_id": "diffusers",
"token_count": 1884
} | 133 |
# 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... | diffusers/src/diffusers/models/transformers/transformer_temporal.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_temporal.py",
"repo_id": "diffusers",
"token_count": 7332
} | 134 |
# coding=utf-8
# 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... | diffusers/src/diffusers/models/unets/uvit_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/uvit_2d.py",
"repo_id": "diffusers",
"token_count": 8280
} | 135 |
# Copyright 2024 The CogVideoX team, Tsinghua University & ZhipuAI and 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.o... | diffusers/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/cogvideo/pipeline_cogvideox.py",
"repo_id": "diffusers",
"token_count": 15644
} | 136 |
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_latent_diffusion_uncond": ["LDMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_latent_diffusion_uncond import LDMPipeline
else:
import sys
sys.modules[__name__]... | diffusers/src/diffusers/pipelines/deprecated/latent_diffusion_uncond/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/latent_diffusion_uncond/__init__.py",
"repo_id": "diffusers",
"token_count": 190
} | 137 |
# 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... | diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_inpaint_legacy.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_stable_diffusion_inpaint_legacy.py",
"repo_id": "diffusers",
"token_count": 18152
} | 138 |
import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class MCLIPConfig(XLMRobertaConfig):
model_type = "M-CLIP"
def __init__(self, transformerDimSize=1024, imageDimSize=768, **kwargs):
self.transformerDimensions = transformerDimSize
self.numDims = imageDimS... | diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/text_encoder.py",
"repo_id": "diffusers",
"token_count": 405
} | 139 |
# Copyright 2024 PixArt-Sigma Authors and 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
#
# Unl... | diffusers/src/diffusers/pipelines/pag/pipeline_pag_pixart_sigma.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pag/pipeline_pag_pixart_sigma.py",
"repo_id": "diffusers",
"token_count": 19029
} | 140 |
# 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... | diffusers/src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py",
"repo_id": "diffusers",
"token_count": 14212
} | 141 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py",
"repo_id": "diffusers",
"token_count": 22761
} | 142 |
# 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... | diffusers/src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py",
"repo_id": "diffusers",
"token_count": 1962
} | 143 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py",
"repo_id": "diffusers",
"token_count": 788
} | 144 |
import torch
import torch.nn as nn
from ...models.attention_processor import Attention
class WuerstchenLayerNorm(nn.LayerNorm):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def forward(self, x):
x = x.permute(0, 2, 3, 1)
x = super().forward(x)
return... | diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py",
"repo_id": "diffusers",
"token_count": 1322
} | 145 |
# Copyright 2024 Stanford University Team and 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
#
#... | diffusers/src/diffusers/schedulers/scheduling_ddim.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_ddim.py",
"repo_id": "diffusers",
"token_count": 10394
} | 146 |
# Copyright 2024 Zhejiang University Team and 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
#
#... | diffusers/src/diffusers/schedulers/scheduling_pndm_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_pndm_flax.py",
"repo_id": "diffusers",
"token_count": 9597
} | 147 |
# 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... | diffusers/src/diffusers/utils/doc_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/doc_utils.py",
"repo_id": "diffusers",
"token_count": 506
} | 148 |
# coding=utf-8
# 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... | diffusers/src/diffusers/utils/hub_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/hub_utils.py",
"repo_id": "diffusers",
"token_count": 11110
} | 149 |
import inspect
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
@require_flax
class FlaxModelTesterMixin:
def test_output(self):
init_dict, inputs_dict = self.prepare_init_args_and_inputs_for_common()
mo... | diffusers/tests/models/test_modeling_common_flax.py/0 | {
"file_path": "diffusers/tests/models/test_modeling_common_flax.py",
"repo_id": "diffusers",
"token_count": 1124
} | 150 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/unets/test_models_unet_2d_condition.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 28278
} | 151 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/others/test_training.py/0 | {
"file_path": "diffusers/tests/others/test_training.py",
"repo_id": "diffusers",
"token_count": 1481
} | 152 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/controlnet/test_controlnet_sdxl.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet/test_controlnet_sdxl.py",
"repo_id": "diffusers",
"token_count": 20606
} | 153 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/ddim/test_ddim.py/0 | {
"file_path": "diffusers/tests/pipelines/ddim/test_ddim.py",
"repo_id": "diffusers",
"token_count": 2218
} | 154 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_prior.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_prior.py",
"repo_id": "diffusers",
"token_count": 4051
} | 155 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/pag/test_pag_kolors.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_kolors.py",
"repo_id": "diffusers",
"token_count": 4755
} | 156 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion/test_onnx_stable_diffusion_inpaint.py",
"repo_id": "diffusers",
"token_count": 2242
} | 157 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py",
"repo_id": "diffusers",
"token_count": 9716
} | 158 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py",
"repo_id": "diffusers",
"token_count": 5675
} | 159 |
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableUnCLI... | diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_unclip/test_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 5063
} | 160 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/unclip/test_unclip.py/0 | {
"file_path": "diffusers/tests/pipelines/unclip/test_unclip.py",
"repo_id": "diffusers",
"token_count": 7983
} | 161 |
import torch
from diffusers import SASolverScheduler
from diffusers.utils.testing_utils import require_torchsde, torch_device
from .test_schedulers import SchedulerCommonTest
@require_torchsde
class SASolverSchedulerTest(SchedulerCommonTest):
scheduler_classes = (SASolverScheduler,)
forward_default_kwargs =... | diffusers/tests/schedulers/test_scheduler_sasolver.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_sasolver.py",
"repo_id": "diffusers",
"token_count": 3629
} | 162 |
import gc
import unittest
import torch
from diffusers import (
StableDiffusionImg2ImgPipeline,
)
from diffusers.utils import load_image
from diffusers.utils.testing_utils import (
enable_full_determinism,
require_torch_gpu,
slow,
)
from .single_file_testing_utils import SDSingleFileTesterMixin
enab... | diffusers/tests/single_file/test_stable_diffusion_img2img_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_img2img_single_file.py",
"repo_id": "diffusers",
"token_count": 1546
} | 163 |
# coding=utf-8
# 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... | diffusers/utils/custom_init_isort.py/0 | {
"file_path": "diffusers/utils/custom_init_isort.py",
"repo_id": "diffusers",
"token_count": 5346
} | 164 |
"""
This scripts demonstrates how to evaluate a pretrained policy from the HuggingFace Hub or from your local
training outputs directory. In the latter case, you might want to run examples/3_train_policy.py first.
"""
from pathlib import Path
import gym_pusht # noqa: F401
import gymnasium as gym
import imageio
impor... | lerobot/examples/2_evaluate_pretrained_policy.py/0 | {
"file_path": "lerobot/examples/2_evaluate_pretrained_policy.py",
"repo_id": "lerobot",
"token_count": 1310
} | 165 |
OPENX_DATASET_CONFIGS:
fractal20220817_data:
image_obs_keys:
- image
depth_obs_keys:
- null
state_obs_keys:
- base_pose_tool_reached
- gripper_closed
fps: 3
kuka:
image_obs_keys:
- image
depth_obs_keys:
- null
state_obs_keys:
- clip_function_i... | lerobot/lerobot/common/datasets/push_dataset_to_hub/openx/configs.yaml/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/openx/configs.yaml",
"repo_id": "lerobot",
"token_count": 5970
} | 166 |
#!/usr/bin/env python
# Copyright 2024 Tony Z. Zhao 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... | lerobot/lerobot/common/policies/act/configuration_act.py/0 | {
"file_path": "lerobot/lerobot/common/policies/act/configuration_act.py",
"repo_id": "lerobot",
"token_count": 3252
} | 167 |
from typing import Protocol
class MotorsBus(Protocol):
def motor_names(self): ...
def set_calibration(self): ...
def apply_calibration(self): ...
def revert_calibration(self): ...
def read(self): ...
def write(self): ...
| lerobot/lerobot/common/robot_devices/motors/utils.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/motors/utils.py",
"repo_id": "lerobot",
"token_count": 88
} | 168 |
# @package _global_
# Use `act_koch_real.yaml` to train on real-world datasets collected on Alexander Koch's robots.
# Compared to `act.yaml`, it contains 2 cameras (i.e. laptop, phone) instead of 1 camera (i.e. top).
# Also, `training.eval_freq` is set to -1. This config is used to evaluate checkpoints at a certain f... | lerobot/lerobot/configs/policy/act_koch_real.yaml/0 | {
"file_path": "lerobot/lerobot/configs/policy/act_koch_real.yaml",
"repo_id": "lerobot",
"token_count": 1161
} | 169 |
#!/usr/bin/env python
# Copyright 2024 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
#
# ... | lerobot/lerobot/scripts/visualize_dataset_html.py/0 | {
"file_path": "lerobot/lerobot/scripts/visualize_dataset_html.py",
"repo_id": "lerobot",
"token_count": 4248
} | 170 |
version https://git-lfs.github.com/spec/v1
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size 1477064
| lerobot/tests/data/lerobot/aloha_mobile_shrimp/train/data-00000-of-00001.arrow/0 | {
"file_path": "lerobot/tests/data/lerobot/aloha_mobile_shrimp/train/data-00000-of-00001.arrow",
"repo_id": "lerobot",
"token_count": 65
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"repo_id": "lerobot",
"token_count": 63
} | 172 |
version https://git-lfs.github.com/spec/v1
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"file_path": "lerobot/tests/data/lerobot/aloha_static_fork_pick_up/meta_data/stats.safetensors",
"repo_id": "lerobot",
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size 3687117
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"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/aloha_sim_insertion_human/frame_0.safetensors",
"repo_id": "lerobot",
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"repo_id": "lerobot",
"token_count": 70
} | 175 |
#!/usr/bin/env python
# Copyright 2024 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
#
# ... | lerobot/tests/scripts/save_dataset_to_safetensors.py/0 | {
"file_path": "lerobot/tests/scripts/save_dataset_to_safetensors.py",
"repo_id": "lerobot",
"token_count": 1375
} | 176 |
import random
from typing import Callable
from uuid import uuid4
import numpy as np
import pytest
import torch
from datasets import Dataset
from lerobot.common.datasets.utils import (
calculate_episode_data_index,
hf_transform_to_torch,
reset_episode_index,
)
from lerobot.common.utils.utils import (
g... | lerobot/tests/test_utils.py/0 | {
"file_path": "lerobot/tests/test_utils.py",
"repo_id": "lerobot",
"token_count": 1215
} | 177 |
from .configuration_dac import DACConfig
from .modeling_dac import DACModel
| parler-tts/parler_tts/dac_wrapper/__init__.py/0 | {
"file_path": "parler-tts/parler_tts/dac_wrapper/__init__.py",
"repo_id": "parler-tts",
"token_count": 22
} | 178 |
<!--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 applicable law or agreed... | peft/docs/source/developer_guides/low_level_api.md/0 | {
"file_path": "peft/docs/source/developer_guides/low_level_api.md",
"repo_id": "peft",
"token_count": 1262
} | 179 |
from pathlib import Path
import torch
from PIL import Image
from torch.utils.data import Dataset
from torchvision import transforms
class DreamBoothDataset(Dataset):
"""
A dataset to prepare the instance and class images with the prompts for fine-tuning the model.
It pre-processes the images and the toke... | peft/examples/boft_dreambooth/utils/dataset.py/0 | {
"file_path": "peft/examples/boft_dreambooth/utils/dataset.py",
"repo_id": "peft",
"token_count": 1884
} | 180 |
import gc
import os
import sys
import threading
import psutil
import torch
from accelerate import Accelerator
from datasets import load_dataset
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
from pe... | peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py/0 | {
"file_path": "peft/examples/conditional_generation/peft_lora_seq2seq_accelerate_ds_zero3_offload.py",
"repo_id": "peft",
"token_count": 5607
} | 181 |
<jupyter_start><jupyter_text>Finetuning Whisper-large-V2 on Colab using PEFT-Lora + BNB INT8 training In this Colab, we present a step-by-step guide on how to fine-tune Whisper for any multilingual ASR dataset using Hugging Face 🤗 Transformers and 🤗 PEFT. Using 🤗 PEFT and `bitsandbytes`, you can train the `whisper-l... | peft/examples/int8_training/peft_bnb_whisper_large_v2_training.ipynb/0 | {
"file_path": "peft/examples/int8_training/peft_bnb_whisper_large_v2_training.ipynb",
"repo_id": "peft",
"token_count": 7713
} | 182 |
<jupyter_start><jupyter_text>Using PEFT with custom models `peft` allows us to fine-tune models efficiently with LoRA. In this short notebook, we will demonstrate how to train a simple multilayer perceptron (MLP) using `peft`. Imports Make sure that you have the latest version of `peft` installed. To ensure that, run ... | peft/examples/multilayer_perceptron/multilayer_perceptron_lora.ipynb/0 | {
"file_path": "peft/examples/multilayer_perceptron/multilayer_perceptron_lora.ipynb",
"repo_id": "peft",
"token_count": 4094
} | 183 |
<jupyter_start><jupyter_text>Using VeRA for sequence classification In this example, we fine-tune Roberta on a sequence classification task using VeRA. Imports<jupyter_code>import torch
from torch.optim import AdamW
from torch.utils.data import DataLoader
from peft import (
get_peft_model,
VeraConfig,
Peft... | peft/examples/sequence_classification/VeRA.ipynb/0 | {
"file_path": "peft/examples/sequence_classification/VeRA.ipynb",
"repo_id": "peft",
"token_count": 2545
} | 184 |
# flake8: noqa
# There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all.
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not ... | peft/src/peft/__init__.py/0 | {
"file_path": "peft/src/peft/__init__.py",
"repo_id": "peft",
"token_count": 1084
} | 185 |
# 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... | peft/src/peft/tuners/adalora/gptq.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/gptq.py",
"repo_id": "peft",
"token_count": 1173
} | 186 |
# Copyright 2024-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... | peft/src/peft/tuners/fourierft/config.py/0 | {
"file_path": "peft/src/peft/tuners/fourierft/config.py",
"repo_id": "peft",
"token_count": 4021
} | 187 |
# Copyright 2024-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... | peft/src/peft/tuners/lora/hqq.py/0 | {
"file_path": "peft/src/peft/tuners/lora/hqq.py",
"repo_id": "peft",
"token_count": 5285
} | 188 |
# 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... | peft/src/peft/tuners/p_tuning/model.py/0 | {
"file_path": "peft/src/peft/tuners/p_tuning/model.py",
"repo_id": "peft",
"token_count": 2476
} | 189 |
# 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... | peft/src/peft/tuners/vera/model.py/0 | {
"file_path": "peft/src/peft/tuners/vera/model.py",
"repo_id": "peft",
"token_count": 8260
} | 190 |
# 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... | peft/tests/conftest.py/0 | {
"file_path": "peft/tests/conftest.py",
"repo_id": "peft",
"token_count": 356
} | 191 |
#!/usr/bin/env python3
# coding=utf-8
# 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
#... | peft/tests/test_low_level_api.py/0 | {
"file_path": "peft/tests/test_low_level_api.py",
"repo_id": "peft",
"token_count": 1280
} | 192 |
# Changelog
### Aug 8, 2024
* Add RDNet ('DenseNets Reloaded', https://arxiv.org/abs/2403.19588), thanks [Donghyun Kim](https://github.com/dhkim0225)
### July 28, 2024
* Add `mobilenet_edgetpu_v2_m` weights w/ `ra4` mnv4-small based recipe. 80.1% top-1 @ 224 and 80.7 @ 256.
* Release 1.0.8
### July 26, 2024
* More M... | pytorch-image-models/hfdocs/source/changes.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/changes.mdx",
"repo_id": "pytorch-image-models",
"token_count": 43611
} | 193 |
# EfficientNet (Knapsack Pruned)
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method uniformly... | pytorch-image-models/hfdocs/source/models/efficientnet-pruned.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/efficientnet-pruned.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2777
} | 194 |
# (Legacy) SE-ResNet
**SE ResNet** is a variant of a [ResNet](https://www.paperswithcode.com/method/resnet) that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
## How do I use this mod... | pytorch-image-models/hfdocs/source/models/legacy-se-resnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/legacy-se-resnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3701
} | 195 |
# (Tensorflow) MixNet
**MixNet** is a type of convolutional neural network discovered via AutoML that utilises [MixConvs](https://paperswithcode.com/method/mixconv) instead of regular [depthwise convolutions](https://paperswithcode.com/method/depthwise-convolution).
The weights from this model were ported from [Tenso... | pytorch-image-models/hfdocs/source/models/tf-mixnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/tf-mixnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2359
} | 196 |
[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"
[project]
name = "timm"
authors = [
{name = "Ross Wightman", email = "ross@huggingface.co"},
]
description = "PyTorch Image Models"
readme = "README.md"
requires-python = ">=3.8"
keywords = ["pytorch", "image-classification"]
license = {text =... | pytorch-image-models/pyproject.toml/0 | {
"file_path": "pytorch-image-models/pyproject.toml",
"repo_id": "pytorch-image-models",
"token_count": 800
} | 197 |
""" Optimzier Tests
These tests were adapted from PyTorch' optimizer tests.
"""
import math
import pytest
import functools
from copy import deepcopy
import torch
from torch.testing._internal.common_utils import TestCase
from torch.nn import Parameter
from timm.scheduler import PlateauLRScheduler
from timm.optim imp... | pytorch-image-models/tests/test_optim.py/0 | {
"file_path": "pytorch-image-models/tests/test_optim.py",
"repo_id": "pytorch-image-models",
"token_count": 11722
} | 198 |
""" Mixup and Cutmix
Papers:
mixup: Beyond Empirical Risk Minimization (https://arxiv.org/abs/1710.09412)
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features (https://arxiv.org/abs/1905.04899)
Code Reference:
CutMix: https://github.com/clovaai/CutMix-PyTorch
Hacked together by / Co... | pytorch-image-models/timm/data/mixup.py/0 | {
"file_path": "pytorch-image-models/timm/data/mixup.py",
"repo_id": "pytorch-image-models",
"token_count": 7225
} | 199 |
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