| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "transformers", | |
| # "torch", | |
| # ] | |
| # /// | |
| try: | |
| import os | |
| from huggingface_hub import InferenceClient | |
| client = InferenceClient( | |
| provider="auto", | |
| api_key=os.environ["HF_TOKEN"], | |
| ) | |
| completion = client.chat.completions.create( | |
| model="HuggingFaceTB/SmolLM3-3B", | |
| messages=[ | |
| { | |
| "role": "user", | |
| "content": "What is the capital of France?" | |
| } | |
| ], | |
| ) | |
| print(completion.choices[0].message) | |
| with open('HuggingFaceTB_SmolLM3-3B_7.txt', 'w') as f: | |
| f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_7.txt') | |
| except Exception as e: | |
| with open('HuggingFaceTB_SmolLM3-3B_7.txt', 'w') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| finally: | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj='HuggingFaceTB_SmolLM3-3B_7.txt', | |
| repo_id='model-metadata/custom_code_execution_files', | |
| path_in_repo='HuggingFaceTB_SmolLM3-3B_7.txt', | |
| repo_type='dataset', | |
| ) |