Instructions to use MirroS-Lab/Code-as-World-VL-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MirroS-Lab/Code-as-World-VL-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MirroS-Lab/Code-as-World-VL-4B") model = AutoModelForMultimodalLM.from_pretrained("MirroS-Lab/Code-as-World-VL-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update pipeline tag, add library name, and add project/GitHub links
Verified signatureThis PR improves the model card by: - Updating the `pipeline_tag` from `question-answering` to `video-text-to-text` so the model is correctly categorized in the Hub. - Adding `library_name: transformers` since the model is compatible with the Transformers library. - Adding links to the project page and GitHub repository in the README.9ce8828
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Update README.md
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Create README.md
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