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:
- 1c5963f03cba4c0df0b2d8c7127cfa5cd1b897bf8e3068aa3c0c1975edf167cb
- Size of remote file:
- 1.16 GB
- SHA256:
- a8b58b0d78a882368659d2190bd72d3caae8fe5b262d1fe094f22356b0917bf5
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