# /// script | |
# requires-python = ">=3.12" | |
# dependencies = [ | |
# "transformers", | |
# "torch", | |
# ] | |
# /// | |
try: | |
# Use a pipeline as a high-level helper | |
from transformers import pipeline | |
pipe = pipeline("text-generation", model="openbmb/MiniCPM4-0.5B", trust_remote_code=True) | |
messages = [ | |
{"role": "user", "content": "Who are you?"}, | |
] | |
pipe(messages) | |
except Exception as e: | |
exception_file = 'openbmb_MiniCPM4-0.5B_0_exception.txt' | |
with open(exception_file, 'w') as f: | |
import traceback | |
traceback.print_exc(file=f) | |
# Upload exception log to HuggingFace | |
from huggingface_hub import upload_file | |
upload_file( | |
path_or_fileobj=exception_file, | |
repo_id='model-metadata/model-code-exception', | |
path_in_repo='17-06-25/openbmb_MiniCPM4-0.5B_0_exception.txt', | |
repo_type='dataset', | |
) |