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:
- 4e3692542e09290015cc24e02dda4b398910394a0dc4ea2d2b642ebd9e3af884
- Size of remote file:
- 19.7 MB
- SHA256:
- a738ddfc003a7214493a7b8987e2cee92777581d182868fc4612f30327472b51
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