datalab-to_chandra_1.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "torch",
#     "torchvision",
#     "transformers",
#     "accelerate",
#     "peft",
#     "slack-sdk",
# ]
# ///

try:
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVision2Seq
    
    processor = AutoProcessor.from_pretrained("datalab-to/chandra")
    model = AutoModelForVision2Seq.from_pretrained("datalab-to/chandra")
    with open('datalab-to_chandra_1.txt', 'w', encoding='utf-8') as f:
        f.write('Everything was good in datalab-to_chandra_1.txt')
except Exception as e:
    with open('datalab-to_chandra_1.txt', 'w', encoding='utf-8') as f:
        import traceback
        traceback.print_exc(file=f)

        from slack_sdk import WebClient
        client = WebClient(token=os.environ["SLACK_TOKEN"])
        client.chat_postMessage(
            channel=#exp-slack-alerts,
            text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/datalab-to_chandra_1.txt|datalab-to_chandra_1.txt>',
            thread_ts=parent_message_ts,
        )
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='datalab-to_chandra_1.txt',
        repo_id='model-metadata/code_execution_files',
        path_in_repo='datalab-to_chandra_1.txt',
        repo_type='dataset',
    )