# /// script | |
# requires-python = ">=3.12" | |
# dependencies = [ | |
# "numpy", | |
# "einops", | |
# "torch", | |
# "transformers", | |
# "datasets", | |
# "accelerate", | |
# "timm", | |
# ] | |
# /// | |
try: | |
# Use a pipeline as a high-level helper | |
from transformers import pipeline | |
pipe = pipeline("image-text-to-text", model="CohereLabs/command-a-vision-07-2025") | |
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('CohereLabs_command-a-vision-07-2025_1.txt', 'w') as f: | |
f.write('Everything was good in CohereLabs_command-a-vision-07-2025_1.txt') | |
except Exception as e: | |
with open('CohereLabs_command-a-vision-07-2025_1.txt', 'w') as f: | |
import traceback | |
traceback.print_exc(file=f) | |
finally: | |
from huggingface_hub import upload_file | |
upload_file( | |
path_or_fileobj='CohereLabs_command-a-vision-07-2025_1.txt', | |
repo_id='model-metadata/custom_code_execution_files', | |
path_in_repo='CohereLabs_command-a-vision-07-2025_1.txt', | |
repo_type='dataset', | |
) |