# /// script # requires-python = ">=3.12" # dependencies = [ # "torch", # "torchvision", # "transformers", # "accelerate", # "peft", # "slack-sdk", # ] # /// try: # Load model directly from transformers import AutoProcessor, AutoModelForVision2Seq processor = AutoProcessor.from_pretrained("allenai/olmOCR-2-7B-1025") model = AutoModelForVision2Seq.from_pretrained("allenai/olmOCR-2-7B-1025") with open('allenai_olmOCR-2-7B-1025_1.txt', 'w', encoding='utf-8') as f: f.write('Everything was good in allenai_olmOCR-2-7B-1025_1.txt') except Exception as e: import os from slack_sdk import WebClient client = WebClient(token=os.environ['SLACK_TOKEN']) client.chat_postMessage( channel='#exp-slack-alerts', text='Problem in ', ) with open('allenai_olmOCR-2-7B-1025_1.txt', 'a', encoding='utf-8') as f: import traceback f.write('''```CODE: # Load model directly from transformers import AutoProcessor, AutoModelForVision2Seq processor = AutoProcessor.from_pretrained("allenai/olmOCR-2-7B-1025") model = AutoModelForVision2Seq.from_pretrained("allenai/olmOCR-2-7B-1025") ``` ERROR: ''') traceback.print_exc(file=f) finally: from huggingface_hub import upload_file upload_file( path_or_fileobj='allenai_olmOCR-2-7B-1025_1.txt', repo_id='model-metadata/code_execution_files', path_in_repo='allenai_olmOCR-2-7B-1025_1.txt', repo_type='dataset', )