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Update 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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  ## Usage
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@@ -56,7 +57,7 @@ Checkpoints format: Hugging Face Transformers (Megatron-DeepSpeed format models
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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-dolly-oasst-v1.0")
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- model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-dolly-oasst-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-dolly-oasst-v1.0")
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+ model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-dolly-oasst-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)