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:
- 47b4204e35c5cc846454c9ea9b4290dd6c5a81fc53266b16c976de965783a28a
- Size of remote file:
- 26.2 MB
- SHA256:
- a35f48559495ecdfb2e503960e64044ca7421a6db1d036395ff1a0bf63a3a5e7
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