Update README.md

README.md

@@ -15,34 +15,33 @@ tags:
 
 ElEmperador is an ORPO finetinue derived from the Mistral-7B-v0.1 base model.
 
-### Inference Script:
----
-def generate_response(model_name, input_text, max_new_tokens=50):
-  
+Inference Script:
+
+- def generate_response(model_name, input_text, max_new_tokens=50):
+    # Load the tokenizer and model from Hugging Face Hub
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     model = AutoModelForCausalLM.from_pretrained(model_name)
     
-  
+    # Tokenize the input text
     input_ids = tokenizer(input_text, return_tensors='pt').input_ids
     
-   
+    # Generate a response using the model
     with torch.no_grad():
         generated_ids = model.generate(input_ids, max_new_tokens=max_new_tokens)
     
-
+    # Decode the generated tokens into text
     generated_text = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
     
     return generated_text
 
-if __name__ == "__main__":
+- if __name__ == "__main__":
     # Set the model name from Hugging Face Hub
-    model_name = "AINovice2005/ElEmperador"  # Example model, you can change this to any other model
+    model_name = "AINovice2005/ElEmperador" 
     input_text = "Hello, how are you?"
 
-   
+    # Generate and print the model's response
     output = generate_response(model_name, input_text)
     
-    
     print(f"Input: {input_text}")
     print(f"Output: {output}")
----
+