# /// 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', | |
) |