model-metadata/code_python_files

1# /// script2# requires-python = ">=3.12"3# dependencies = [4#     "torch",5#     "torchvision",6#     "transformers",7#     "diffusers",8#     "sentence-transformers",9#     "accelerate",10#     "peft",11#     "slack-sdk",12# ]13# ///14 15try:16    # Use a pipeline as a high-level helper17    from transformers import pipeline18    19    pipe = pipeline("text-generation", model="inference-net/Schematron-3B")20    messages = [21        {"role": "user", "content": "Who are you?"},22    ]23    pipe(messages)24    with open('inference-net_Schematron-3B_0.txt', 'w', encoding='utf-8') as f:25        f.write('Everything was good in inference-net_Schematron-3B_0.txt')26except Exception as e:27    import os28    from slack_sdk import WebClient29    client = WebClient(token=os.environ['SLACK_TOKEN'])30    client.chat_postMessage(31        channel='#exp-slack-alerts',32        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/inference-net_Schematron-3B_0.txt|inference-net_Schematron-3B_0.txt>',33    )34 35    with open('inference-net_Schematron-3B_0.txt', 'a', encoding='utf-8') as f:36        import traceback37        f.write('''```CODE: 38# Use a pipeline as a high-level helper39from transformers import pipeline40 41pipe = pipeline("text-generation", model="inference-net/Schematron-3B")42messages = [43    {"role": "user", "content": "Who are you?"},44]45pipe(messages)46```47 48ERROR: 49''')50        traceback.print_exc(file=f)51    52finally:53    from huggingface_hub import upload_file54    upload_file(55        path_or_fileobj='inference-net_Schematron-3B_0.txt',56        repo_id='model-metadata/code_execution_files',57        path_in_repo='inference-net_Schematron-3B_0.txt',58        repo_type='dataset',59    )60