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README.md
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@@ -49,6 +49,7 @@ Checkpoints format: Hugging Face Transformers (Megatron-DeepSpeed format models
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- torch>=2.0.0
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- transformers>=4.34.0
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- tokenizers>=0.14.0
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- peft==0.5.0
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## Usage
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peft_model_name = "llm-jp/llm-jp-13b-instruct-lora-dolly-oasst-v1.0"
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tokenizer = AutoTokenizer.from_pretrained(peft_model_name)
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config = PeftConfig.from_pretrained(peft_model_name)
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, torch_dtype=torch.float16)
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model = PeftModel.from_pretrained(model, peft_model_name)
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text = "自然言語処理とは何か"
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text = text + "### 回答："
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- torch>=2.0.0
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- transformers>=4.34.0
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- tokenizers>=0.14.0
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- accelerate==0.23.0
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- peft==0.5.0
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## Usage
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peft_model_name = "llm-jp/llm-jp-13b-instruct-lora-dolly-oasst-v1.0"
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tokenizer = AutoTokenizer.from_pretrained(peft_model_name)
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config = PeftConfig.from_pretrained(peft_model_name)
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model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, device_map="auto", torch_dtype=torch.float16)
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model = PeftModel.from_pretrained(model, peft_model_name)
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text = "自然言語処理とは何か"
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text = text + "### 回答："
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