| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "transformers", | |
| # "torch", | |
| # ] | |
| # /// | |
| try: | |
| # Load model directly | |
| from transformers import AutoModel | |
| model = AutoModel.from_pretrained("PowerInfer/SmallThinker-4BA0.6B-Instruct", trust_remote_code=True, torch_dtype="auto"), | |
| with open('PowerInfer_SmallThinker-4BA0.6B-Instruct_1.txt', 'w') as f: | |
| f.write('Everything was good in PowerInfer_SmallThinker-4BA0.6B-Instruct_1.txt') | |
| except Exception as e: | |
| with open('PowerInfer_SmallThinker-4BA0.6B-Instruct_1.txt', 'w') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| finally: | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj='PowerInfer_SmallThinker-4BA0.6B-Instruct_1.txt', | |
| repo_id='model-metadata/custom_code_execution_files', | |
| path_in_repo='PowerInfer_SmallThinker-4BA0.6B-Instruct_1.txt', | |
| repo_type='dataset', | |
| ) |