| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "torch", | |
| # "torchvision", | |
| # "transformers", | |
| # "accelerate", | |
| # "peft", | |
| # ] | |
| # /// | |
| try: | |
| # Login into Hugging Face Hub | |
| from huggingface_hub import login | |
| login() | |
| with open('google_embeddinggemma-300m_1.txt', 'w', encoding='utf-8') as f: | |
| f.write('Everything was good in google_embeddinggemma-300m_1.txt') | |
| except Exception as e: | |
| with open('google_embeddinggemma-300m_1.txt', 'w', encoding='utf-8') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| finally: | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj='google_embeddinggemma-300m_1.txt', | |
| repo_id='model-metadata/code_execution_files', | |
| path_in_repo='google_embeddinggemma-300m_1.txt', | |
| repo_type='dataset', | |
| ) | |