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:
- 4af3fd706c81197560b3f4e9f971708d10f14f185f4e89d265a99c0ece439df1
- Size of remote file:
- 171 MB
- SHA256:
- 79efd9c203c518d8971a0881239b6eeca3be70c16aa74104856e3073a0789fd6
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