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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "transformers",
# "torch",
# ]
# ///
try:
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AIDC-AI/Ovis2.5-9B", trust_remote_code=True, torch_dtype="auto"),
with open('AIDC-AI_Ovis2.5-9B_1.txt', 'w') as f:
f.write('Everything was good in AIDC-AI_Ovis2.5-9B_1.txt')
except Exception as e:
with open('AIDC-AI_Ovis2.5-9B_1.txt', 'w') as f:
import traceback
traceback.print_exc(file=f)
finally:
from huggingface_hub import upload_file
upload_file(
path_or_fileobj='AIDC-AI_Ovis2.5-9B_1.txt',
repo_id='model-metadata/custom_code_execution_files',
path_in_repo='AIDC-AI_Ovis2.5-9B_1.txt',
repo_type='dataset',
) |