# /// script | |
# requires-python = ">=3.12" | |
# dependencies = [ | |
# "transformers", | |
# "torch", | |
# ] | |
# /// | |
try: | |
# Load model directly | |
from transformers import AutoModelForImageTextToText | |
model = AutoModelForImageTextToText.from_pretrained("LiquidAI/LFM2-VL-450M", trust_remote_code=True, torch_dtype="auto"), | |
with open('LiquidAI_LFM2-VL-450M_1.txt', 'w') as f: | |
f.write('Everything was good in LiquidAI_LFM2-VL-450M_1.txt') | |
except Exception as e: | |
with open('LiquidAI_LFM2-VL-450M_1.txt', 'w') as f: | |
import traceback | |
traceback.print_exc(file=f) | |
finally: | |
from huggingface_hub import upload_file | |
upload_file( | |
path_or_fileobj='LiquidAI_LFM2-VL-450M_1.txt', | |
repo_id='model-metadata/custom_code_execution_files', | |
path_in_repo='LiquidAI_LFM2-VL-450M_1.txt', | |
repo_type='dataset', | |
) |