| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "numpy", | |
| # "einops", | |
| # "torch", | |
| # "transformers", | |
| # "datasets", | |
| # "accelerate", | |
| # "timm", | |
| # ] | |
| # /// | |
| try: | |
| tools = [ | |
| { | |
| "name": "get_weather", | |
| "description": "Get the weather in a city", | |
| "parameters": {"type": "object", "properties": {"city": {"type": "string", "description": "The city to get the weather for"}}}} | |
| ] | |
| messages = [ | |
| { | |
| "role": "user", | |
| "content": "Hello! How is the weather today in Copenhagen?" | |
| } | |
| ] | |
| inputs = tokenizer.apply_chat_template( | |
| messages, | |
| enable_thinking=False, # True works as well, your choice! | |
| xml_tools=tools, | |
| add_generation_prompt=True, | |
| tokenize=True, | |
| return_tensors="pt" | |
| ).to(model.device) | |
| outputs = model.generate(inputs) | |
| print(tokenizer.decode(outputs[0])) | |
| with open('HuggingFaceTB_SmolLM3-3B_6.txt', 'w') as f: | |
| f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_6.txt') | |
| except Exception as e: | |
| with open('HuggingFaceTB_SmolLM3-3B_6.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_6.txt', | |
| repo_id='model-metadata/custom_code_execution_files', | |
| path_in_repo='HuggingFaceTB_SmolLM3-3B_6.txt', | |
| repo_type='dataset', | |
| ) |