Update README.md

README.md

@@ -9,4 +9,40 @@ base_model:
 library_name: transformers
 tags:
 - transformers
+---
+
+# Introduction:
+
+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):
+  
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(model_name)
+    
+  
+    input_ids = tokenizer(input_text, return_tensors='pt').input_ids
+    
+   
+    with torch.no_grad():
+        generated_ids = model.generate(input_ids, max_new_tokens=max_new_tokens)
+    
+
+    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"  # Example model, you can change this to any other model
+    input_text = "Hello, how are you?"
+
+   
+    output = generate_response(model_name, input_text)
+    
+    
+    print(f"Input: {input_text}")
+    print(f"Output: {output}")
 ---