Update README.md

README.md

@@ -40,8 +40,8 @@ Codeshell offers a model in the Hugging Face format. Developers can load and use
 ```python
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
-tokenizer = AutoTokenizer.from_pretrained("codeshell", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("codeshell", trust_remote_code=True).cuda()
+tokenizer = AutoTokenizer.from_pretrained("WisdomShell/CodeShell-7B", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("WisdomShell/CodeShell-7B", trust_remote_code=True).cuda()
 inputs = tokenizer('def print_hello_world():', return_tensors='pt').cuda()
 outputs = model.generate(inputs)
 print(tokenizer.decode(outputs[0]))
@@ -123,8 +123,6 @@ Despite our significant efforts to ensure compliance in the data used during the
 
 在满足上述条件的前提下，您需要通过向codeshell.opensource@gmail.com发送电子邮件提交申请。经审核通过后，将授予您一个全球的、非排他的、不可转让的、不可再授权的商业版权许可。
 
-
-
 Community use of the CodeShell model requires adherence to the CodeShell Model License Agreement and the Apache 2.0 License. The CodeShell model is allowed for commercial use, but if you plan to use the CodeShell model or its derivatives for commercial purposes, you need to ensure that the entity meets the following conditions:
 
 1. The Daily Active Users (DAU) of your or your affiliate's service or product is less than 1 million.