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:
- d74b0836beb5e5f2b28ca2baaede4db4846df368ca7329e99110c2cf79549c30
- Size of remote file:
- 26.2 MB
- SHA256:
- 9a830e48bb12393a036bf063d3328149b5ffceecabeb0f8735f0cc695219a545
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