Qwen_Qwen3-VL-4B-Instruct_0.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "torch",
#     "torchvision",
#     "transformers",
#     "accelerate",
#     "peft",
#     "slack-sdk",
# ]
# ///

try:
    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="Qwen/Qwen3-VL-4B-Instruct")
    messages = [
        {
            "role": "user",
            "content": [
                {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
                {"type": "text", "text": "What animal is on the candy?"}
            ]
        },
    ]
    pipe(text=messages)
    with open('Qwen_Qwen3-VL-4B-Instruct_0.txt', 'w', encoding='utf-8') as f:
        f.write('Everything was good in Qwen_Qwen3-VL-4B-Instruct_0.txt')
except Exception as e:
    with open('Qwen_Qwen3-VL-4B-Instruct_0.txt', 'w', encoding='utf-8') as f:
        import traceback
        traceback.print_exc(file=f)

        from slack_sdk import WebClient
        client = WebClient(token=os.environ["SLACK_TOKEN"])
        client.chat_postMessage(
            channel=#exp-slack-alerts,
            text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/Qwen_Qwen3-VL-4B-Instruct_0.txt|Qwen_Qwen3-VL-4B-Instruct_0.txt>',
            thread_ts=parent_message_ts,
        )
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='Qwen_Qwen3-VL-4B-Instruct_0.txt',
        repo_id='model-metadata/code_execution_files',
        path_in_repo='Qwen_Qwen3-VL-4B-Instruct_0.txt',
        repo_type='dataset',
    )