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:
- b731087b82aad3f6427e0945a92a98ec6b28fd6260fcb98bc24ea632e33a1a65
- Size of remote file:
- 19.7 MB
- SHA256:
- d8096f8fd0085db49c0bba53ff91df82e5c6b2997c3e87e6e45955605a267074
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