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:
- 02b14733dbfa00f86e987fa2926450c2fc14295782a1c3bdfaf3312bcbd5c3b8
- Size of remote file:
- 26.2 MB
- SHA256:
- b6d28f782fba5583b0527fa966466f0b68e5c60d4bbf9c53db2a8164a1bc8c0b
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