Update README.md

README.md

@@ -113,19 +113,17 @@ When applying inference, you always make your input string end with "\<s\>bot" t
 
 
 ```bash
-pip install transformers modelscope cpm_kernels -U
+pip install transformers cpm_kernels -U
 pip install -r requirements.txt
 ```
 
 ```python
 import torch
-from modelscope import (
+from transformers import (
     AutoTokenizer, 
     AutoModel,
-    snapshot_download
 )
-model_dir = snapshot_download('codefuse-ai/CodeFuse-CodeGeeX2-6B',revision = 'v1.0.0')
-tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained('codefuse-ai/CodeFuse-CodeGeeX2-6B', trust_remote_code=True)
 tokenizer.padding_side = "left"
 # try 4bit loading if cuda memory not enough
 model = AutoModel.from_pretrained(model_dir,
@@ -261,19 +259,17 @@ CodeFuse-CodeGeeX2-6B 是一个通过LoRA对基座模型CodeGeeeX2进行多代
 
 
 ```bash
-pip install transformers modelscope cpm_kernels -U
+pip install transformers  cpm_kernels -U
 pip install -r requirements.txt
 ```
 
 ```python
 import torch
-from modelscope import (
+from transformers import (
     AutoTokenizer, 
     AutoModel,
-    snapshot_download
 )
-model_dir = snapshot_download('codefuse-ai/CodeFuse-CodeGeeX2-6B',revision = 'v1.0.0')
-tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained('codefuse-ai/CodeFuse-CodeGeeX2-6B', trust_remote_code=True)
 tokenizer.padding_side = "left"
 # try 4bit loading if cuda memory not enough
 model = AutoModel.from_pretrained(model_dir,