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Update README.md

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@@ -16,10 +16,18 @@ Stockmark-100b-instruct-v0.1 is an instruction tuned version of [stockmark-100b]
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained("stockmark/stockmark-100b")
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  model = AutoModelForCausalLM.from_pretrained("stockmark/stockmark-100b", device_map="auto", torch_dtype=torch.bfloat16)
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- input_ids = tokenizer("生成AIとは?", return_tensors="pt").input_ids.to(model.device)
 
 
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  with torch.inference_mode():
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  tokens = model.generate(
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  input_ids,
 
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ prompt_template = """### 指示:
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+ {instruction}
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+
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+ ### 応答:
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+ """
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+
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  tokenizer = AutoTokenizer.from_pretrained("stockmark/stockmark-100b")
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  model = AutoModelForCausalLM.from_pretrained("stockmark/stockmark-100b", device_map="auto", torch_dtype=torch.bfloat16)
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+ instruction = "生成AIとは?"
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+ prompt = prompt_template.format(instruction=instruction)
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+ input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(model.device)
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  with torch.inference_mode():
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  tokens = model.generate(
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  input_ids,