# /// 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', | |
) |