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| import os | |
| import traceback | |
| from huggingface_hub import InferenceClient | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| api_key = os.getenv("HF_TOKEN") | |
| client = InferenceClient(api_key=api_key) | |
| model = "HuggingFaceM4/idefics2-8b" | |
| print(f"Testing model: {model}") | |
| print("\n--- Test 1: Image to Text (Captioning) ---") | |
| try: | |
| # This might work if the API treats it as captioning | |
| res = client.image_to_text( | |
| "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg?download=true", | |
| model=model | |
| ) | |
| print("Response:", res) | |
| except Exception: | |
| traceback.print_exc() | |
| print("\n--- Test 2: Text Generation (Simple) ---") | |
| try: | |
| res = client.text_generation("describe a car", model=model, max_new_tokens=50) | |
| print("Response:", res) | |
| except Exception: | |
| traceback.print_exc() | |