Update README.md

README.md

@@ -53,7 +53,7 @@ We conducted a comprehensive evaluation of InternLM using the open-source evalua
 **Limitations:** Although we have made efforts to ensure the safety of the model during the training process and to encourage the model to generate text that complies with ethical and legal requirements, the model may still produce unexpected outputs due to its size and probabilistic generation paradigm. For example, the generated responses may contain biases, discrimination, or other harmful content. Please do not propagate such content. We are not responsible for any consequences resulting from the dissemination of harmful information.
 
 ### Import from Transformers
-To load the InternLM 7B Chat model using Transformers, use the following code:
+To load the InternLM 7B model using Transformers, use the following code:
 ```python
 >>> from transformers import AutoTokenizer, AutoModelForCausalLM
 >>> tokenizer = AutoTokenizer.from_pretrained("internlm/internlm-7b", trust_remote_code=True)
@@ -104,7 +104,7 @@ InternLM ，即书生·浦语大模型，包含面向实用场景的70亿参数
 **局限性：** 尽管在训练过程中我们非常注重模型的安全性，尽力促使模型输出符合伦理和法律要求的文本，但受限于模型大小以及概率生成范式，模型可能会产生各种不符合预期的输出，例如回复内容包含偏见、歧视等有害内容，请勿传播这些内容。由于传播不良信息导致的任何后果，本项目不承担责任。
 
 ### 通过 Transformers 加载
-通过以下的代码加载 InternLM 7B Chat 模型
+通过以下的代码加载 InternLM 7B 模型
 ```python
 >>> from transformers import AutoTokenizer, AutoModelForCausalLM
 >>> tokenizer = AutoTokenizer.from_pretrained("internlm/internlm-7b", trust_remote_code=True)