model-metadata/code_python_files

1# /// script2# requires-python = ">=3.12"3# dependencies = [4#     "numpy",5#     "einops",6#     "pandas",7#     "matplotlib",8#     "protobuf",9#     "torch",10#     "sentencepiece",11#     "torchvision",12#     "transformers",13#     "timm",14#     "diffusers",15#     "sentence-transformers",16#     "accelerate",17#     "peft",18#     "slack-sdk",19# ]20# ///21 22try:23    # Use a pipeline as a high-level helper24    from transformers import pipeline25    26    pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2.5", trust_remote_code=True)27    messages = [28        {"role": "user", "content": "Who are you?"},29    ]30    pipe(messages)31    with open('MiniMaxAI_MiniMax-M2.5_0.txt', 'w', encoding='utf-8') as f:32        f.write('Everything was good in MiniMaxAI_MiniMax-M2.5_0.txt')33except Exception as e:34    import os35    from slack_sdk import WebClient36    client = WebClient(token=os.environ['SLACK_TOKEN'])37    client.chat_postMessage(38        channel='#hub-model-metadata-snippets-sprint',39        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/MiniMaxAI_MiniMax-M2.5_0.txt|MiniMaxAI_MiniMax-M2.5_0.txt>',40    )41 42    with open('MiniMaxAI_MiniMax-M2.5_0.txt', 'a', encoding='utf-8') as f:43        import traceback44        f.write('''```CODE: 45# Use a pipeline as a high-level helper46from transformers import pipeline47 48pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2.5", trust_remote_code=True)49messages = [50    {"role": "user", "content": "Who are you?"},51]52pipe(messages)53```54 55ERROR: 56''')57        traceback.print_exc(file=f)58    59finally:60    from huggingface_hub import upload_file61    upload_file(62        path_or_fileobj='MiniMaxAI_MiniMax-M2.5_0.txt',63        repo_id='model-metadata/code_execution_files',64        path_in_repo='MiniMaxAI_MiniMax-M2.5_0.txt',65        repo_type='dataset',66    )67