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:
- 30ee2967c27354a57367e2da2b1c4a5167a2bb57cd9365a20997c0716eee44b8
- Size of remote file:
- 19.7 MB
- SHA256:
- 417bcfc27a00dbb0a38f9717639d87775e6f53d41d327e7a55870733b32177d0
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