Instructions to use immich-app/ViT-H-14-378-quickgelu__dfn5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immich-app/ViT-H-14-378-quickgelu__dfn5b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immich-app/ViT-H-14-378-quickgelu__dfn5b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cba3b3462db4f6dabfb467cdc3b72fb40a9d6d639e64bbeae0c6f6a238e6d979
- Size of remote file:
- 19.7 MB
- SHA256:
- f65801bbde972559bf88f0b7eb54a43132a849a988269bc780631ca4efd6656b
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