Update README.md

README.md

@@ -56,17 +56,12 @@ Laxo Pro is intended for a wide range of applications, including:
 **Example with `transformers` (replace with actual loading and usage code):**
 
 ```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "frameai/LaxoPro" # Replace with your model's name on Hugging Face
-model = AutoModelForCausalLM.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-# Example usage:
-input_text = "What is the capital of France?"
-inputs = tokenizer(input_text, return_tensors="pt")
-outputs = model.generate(**inputs)
-decoded_output = tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-print(decoded_output)
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="explorewithai/LaxoPro")
+pipe(messages)
 ```