| from llama_cpp import Llama | |
| # Load the model (ensure you have the correct model path) | |
| model = Llama(model_path="path_to_your_model.gguf") | |
| # Example prompt to analyze a coin | |
| response = model.create_chat_completion( | |
| messages=[ | |
| {"role": "user", "content": "Analyze this coin for potential errors based on the provided image or description."} | |
| ] | |
| ) | |
| # Access the response content | |
| print(response["choices"][0]["message"]["content"]) | |