Instructions to use multimodal-reasoning-lab/Bagel-Zebra-CoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use multimodal-reasoning-lab/Bagel-Zebra-CoT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("multimodal-reasoning-lab/Bagel-Zebra-CoT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download bagel_zebra_cot_example.png from multimodal-reasoning-lab/Bagel-Zebra-CoT: direct link, hf CLI and curl.
- Browser
- Download file 1.65 MB
-
https://huggingface.co/multimodal-reasoning-lab/Bagel-Zebra-CoT/resolve/main/bagel_zebra_cot_example.png
- Command line
-
hf download hf://multimodal-reasoning-lab/Bagel-Zebra-CoT/bagel_zebra_cot_example.png
-
curl -L -o bagel_zebra_cot_example.png https://huggingface.co/multimodal-reasoning-lab/Bagel-Zebra-CoT/resolve/main/bagel_zebra_cot_example.png
1.65 MB

- Xet hash:
- 1ea428d8447c2dc7b8d9c00acc758eff6101370d257abf7d3598884ff1b1a49c
- Size of remote file:
- 1.65 MB
- SHA256:
- 9483f05c5108fcb8ae0dfa116739d1cfac8371d3fa5c44e2fccd698d886ff08c
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