Instructions to use xiaomoguhzz/VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomoguhzz/VisionEncoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiaomoguhzz/VisionEncoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47945afca8f6db7c4b513f2aa5cac6b07594544c3b31bf68eca01fd22c01637c
- Size of remote file:
- 844 MB
- SHA256:
- 87de3a26e50fd5da292bb5e500f396c34b2b9d5fb140d7e0c88bffa3490e46c7
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