# /// script # requires-python = ">=3.12" # dependencies = [ # "torch", # "torchvision", # "transformers", # "accelerate", # "peft", # "slack-sdk", # ] # /// try: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Qwen/Qwen3-VL-2B-Instruct") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages) with open('Qwen_Qwen3-VL-2B-Instruct_0.txt', 'w', encoding='utf-8') as f: f.write('Everything was good in Qwen_Qwen3-VL-2B-Instruct_0.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('Qwen_Qwen3-VL-2B-Instruct_0.txt', 'a', encoding='utf-8') as f: import traceback f.write('''```CODE: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Qwen/Qwen3-VL-2B-Instruct") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages) ``` ERROR: ''') traceback.print_exc(file=f) finally: from huggingface_hub import upload_file upload_file( path_or_fileobj='Qwen_Qwen3-VL-2B-Instruct_0.txt', repo_id='model-metadata/code_execution_files', path_in_repo='Qwen_Qwen3-VL-2B-Instruct_0.txt', repo_type='dataset', )