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    # Load model directly24    from transformers import AutoModelForCausalLM25    model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2", trust_remote_code=True, dtype="auto")26    with open('MiniMaxAI_MiniMax-M2_1.txt', 'w', encoding='utf-8') as f:27        f.write('Everything was good in MiniMaxAI_MiniMax-M2_1.txt')28except Exception as e:29    import os30    from slack_sdk import WebClient31    client = WebClient(token=os.environ['SLACK_TOKEN'])32    client.chat_postMessage(33        channel='#hub-model-metadata-snippets-sprint',34        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/MiniMaxAI_MiniMax-M2_1.txt|MiniMaxAI_MiniMax-M2_1.txt>',35    )36 37    with open('MiniMaxAI_MiniMax-M2_1.txt', 'a', encoding='utf-8') as f:38        import traceback39        f.write('''```CODE: 40# Load model directly41from transformers import AutoModelForCausalLM42model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2", trust_remote_code=True, dtype="auto")43```44 45ERROR: 46''')47        traceback.print_exc(file=f)48    49finally:50    from huggingface_hub import upload_file51    upload_file(52        path_or_fileobj='MiniMaxAI_MiniMax-M2_1.txt',53        repo_id='model-metadata/code_execution_files',54        path_in_repo='MiniMaxAI_MiniMax-M2_1.txt',55        repo_type='dataset',56    )57