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README.md
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@@ -48,6 +48,7 @@ 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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## Usage
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0")
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model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0", torch_dtype=torch.float16)
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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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tokenized_input = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt").to(model.device)
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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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## Usage
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0")
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model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0", device_map="auto", torch_dtype=torch.float16)
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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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tokenized_input = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt").to(model.device)
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