# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "transformers",
#     "torch",
# ]
# ///

try:
    # Use a pipeline as a high-level helper
    from transformers import pipeline
    from transformers import AutoTokenizer
    
    model_id = "HuggingFaceTB/SmolLM3-3B"
    
    tokenizer = AutoTokenizer.from_pretrained(model_id)
    
    pipe = pipeline("text-generation", model=model_id, tokenizer=tokenizer)
    with open('HuggingFaceTB_SmolLM3-3B_0.txt', 'w') as f:
        f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_0.txt')
except Exception as e:
    with open('HuggingFaceTB_SmolLM3-3B_0.txt', 'w') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='HuggingFaceTB_SmolLM3-3B_0.txt',
        repo_id='model-metadata/custom_code_execution_files',
        path_in_repo='HuggingFaceTB_SmolLM3-3B_0.txt',
        repo_type='dataset',
    )