| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "transformers", | |
| # "torch", | |
| # ] | |
| # /// | |
| try: | |
| # Load model directly | |
| from transformers import AutoModelForCausalLM | |
| model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M1-80k", trust_remote_code=True) | |
| except Exception as e: | |
| exception_file = 'MiniMaxAI_MiniMax-M1-80k_1_exception.txt' | |
| with open(exception_file, 'w') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| # Upload exception log to HuggingFace | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj=exception_file, | |
| repo_id='model-metadata/model-code-exception', | |
| path_in_repo='09-07-25/MiniMaxAI_MiniMax-M1-80k_1_exception.txt', | |
| repo_type='dataset', | |
| ) |