Upload folder using huggingface_hub
Browse files- inference.py +33 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- trainer_state.json +1336 -0
- training_args.bin +3 -0
inference.py
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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from peft import PeftModel
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# 1. Пути к моделям
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base_model_id = "sberbank-ai/rugpt3small_based_on_gpt2"
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# Укажите путь к папке, которую вы скачали из Colab (например, checkpoint-1860)
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adapter_path = "."
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# 2. Загрузка токенизатора и базовой модели
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tokenizer = AutoTokenizer.from_pretrained(base_model_id)
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model = AutoModelForCausalLM.from_pretrained(base_model_id, torch_dtype=torch.float16, device_map="auto")
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# 3. Подгрузка LoRA адаптера
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model = PeftModel.from_pretrained(model, adapter_path)
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model.eval()
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def generate(text):
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prompt = f"Пользователь: {text}\nПомощник:"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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with torch.no_grad():
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outputs = model.generate(
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**inputs,
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max_new_tokens=150,
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do_sample=True,
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top_p=0.9,
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repetition_penalty=1.2
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)
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return tokenizer.decode(outputs[0], skip_special_tokens=True).split("Помощник:")[-1].strip()
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# Тест
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print(generate(input('Prompt: ')))
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1e1f91665081be1400758c757e852899908fea5c474ad64d64ac9af014e4e0c
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size 2380711
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6965c4a1ed8b328620d69032102216e144231373c64df6e5914004f150173fc0
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size 14645
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scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ee17376c713ff30ee2fa1e53cb75919bdf726bdefb90a9a1b9537e1df4505ce
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size 1383
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:849ecc6a14587080576796a01e4aed4ccbec7d27095fdec0362226adff5b0f70
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size 1465
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trainer_state.json
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