Update README.md

README.md

@@ -55,8 +55,8 @@ Checkpoints format: `transformers` (Megatron-DeepSpeed format available [here](h
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
-tokenizer = AutoTokenizer.from_pretrained("llm-jp/[Model_Name]")
-model = AutoModelForCausalLM.from_pretrained("llm-jp/[Model_Name]", torch_dtype=torch.float16)
+tokenizer = AutoTokenizer.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0")
+model = AutoModelForCausalLM.from_pretrained("llm-jp/llm-jp-13b-instruct-full-jaster-v1.0", torch_dtype=torch.float16)
 text = "自然言語処理とは何か"
 text = text + "### 回答："
 tokenized_input = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt").to(model.device)