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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "torch",
# "torchvision",
# "transformers",
# "accelerate",
# "peft",
# ]
# ///
try:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-to-text", model="allenai/olmOCR-2-7B-1025-FP8")
with open('allenai_olmOCR-2-7B-1025-FP8_0.txt', 'w', encoding='utf-8') as f:
f.write('Everything was good in allenai_olmOCR-2-7B-1025-FP8_0.txt')
except Exception as e:
with open('allenai_olmOCR-2-7B-1025-FP8_0.txt', 'w', encoding='utf-8') as f:
import traceback
traceback.print_exc(file=f)
finally:
from huggingface_hub import upload_file
upload_file(
path_or_fileobj='allenai_olmOCR-2-7B-1025-FP8_0.txt',
repo_id='model-metadata/code_execution_files',
path_in_repo='allenai_olmOCR-2-7B-1025-FP8_0.txt',
repo_type='dataset',
)
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