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:
- ee3fef10e58f137055ce8e19e23b532be99e1e2120acb122e911dd4d261b3487
- Size of remote file:
- 26.2 MB
- SHA256:
- 02a8643b82af9c125b6e39cbc0284f30db40ecf56bbbb339e818d194420ebaed
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