Update README.md

README.md

@@ -35,7 +35,7 @@ All models are trained on the full AAID instruction tuning data.
 
 ## Usage
 
-You can use the Emollama-chat-7b model in your Python project with the Hugging Face Transformers library. Here is a simple example of how to load the model:
+You can use the Emoopt-13b model in your Python project with the Hugging Face Transformers library. Here is a simple example of how to load the model:
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
@@ -43,7 +43,7 @@ tokenizer = AutoTokenizer.from_pretrained('lzw1008/Emoopt-13b')
 model = AutoModelForCausalLM.from_pretrained('lzw1008/Emoopt-13b', device_map='auto')
 ```
 
-In this example, LlamaTokenizer is used to load the tokenizer, and LlamaForCausalLM is used to load the model. The `device_map='auto'` argument is used to automatically
+In this example, AutoTokenizer is used to load the tokenizer, and AutoModelForCausalLM is used to load the model. The `device_map='auto'` argument is used to automatically
 use the GPU if it's available.
 
 ## Prompt examples