# /// 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="IntervitensInc/pangu-pro-moe-model", trust_remote_code=True) | |
messages = [ | |
{"role": "user", "content": "Who are you?"}, | |
] | |
pipe(messages) | |
with open('pangu-pro-moe-model_0.txt', 'w') as f: | |
f.write('Everything was good in pangu-pro-moe-model_0') | |
except Exception as e: | |
with open('pangu-pro-moe-model_0.txt', 'w') as f: | |
import traceback | |
traceback.print_exc(file=f) | |
finally: | |
from huggingface_hub import upload_file | |
upload_file( | |
path_or_fileobj='pangu-pro-moe-model_0.txt', | |
repo_id='model-metadata/custom_code_execution_files', | |
path_in_repo='pangu-pro-moe-model_0.txt', | |
repo_type='dataset', | |
) |