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 AutoTokenizer, AutoModelForCausalLM25    26    tokenizer = AutoTokenizer.from_pretrained("maya-research/maya1")27    model = AutoModelForCausalLM.from_pretrained("maya-research/maya1")28    with open('maya-research_maya1_1.txt', 'w', encoding='utf-8') as f:29        f.write('Everything was good in maya-research_maya1_1.txt')30except Exception as e:31    import os32    from slack_sdk import WebClient33    client = WebClient(token=os.environ['SLACK_TOKEN'])34    client.chat_postMessage(35        channel='#hub-model-metadata-snippets-sprint',36        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/maya-research_maya1_1.txt|maya-research_maya1_1.txt>',37    )38 39    with open('maya-research_maya1_1.txt', 'a', encoding='utf-8') as f:40        import traceback41        f.write('''```CODE: 42# Load model directly43from transformers import AutoTokenizer, AutoModelForCausalLM44 45tokenizer = AutoTokenizer.from_pretrained("maya-research/maya1")46model = AutoModelForCausalLM.from_pretrained("maya-research/maya1")47```48 49ERROR: 50''')51        traceback.print_exc(file=f)52    53finally:54    from huggingface_hub import upload_file55    upload_file(56        path_or_fileobj='maya-research_maya1_1.txt',57        repo_id='model-metadata/code_execution_files',58        path_in_repo='maya-research_maya1_1.txt',59        repo_type='dataset',60    )61