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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddaf0f44b8dbf67fbf43b689ee05a66af02516cabcbaf5b1efdaeea8a74e54b6
- Size of remote file:
- 1.17 GB
- SHA256:
- b64809179037badac20e4a4a5536a83a5eacda7d0d8135a9148fe5f191b05a2c
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