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:
- aa0664234ae73bbe19ad0cd84e8aa6d5368151ba9d24847a8e337af53fed3dcd
- Size of remote file:
- 172 MB
- SHA256:
- ec98fb3c559bfb9fb6306b324ada908dc33b56e094241443de8c5a77996f660c
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