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:
- b6d5ae5aeb15a817c74d8c1116fe037f34427b9d02ed3fb9710ebcbca627dd17
- Size of remote file:
- 26.2 MB
- SHA256:
- 7b84029e4ca2813c086fe8546811eb13656686bb8cfb0e3eb164221b17f73e8c
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