Update README.md

README.md

@@ -30,37 +30,7 @@ ElEmperador is an ORPO-based finetune derived from the Mistral-7B-v0.1 base mode
 ## Evals:
 BLEU:0.209
 
-## Inference Script:
 
-```python
-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__":
-    # Set the model name from Hugging Face Hub
-    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}")
-```
 
 ## Results