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:
- 95a0e000c57cdf23a2ba2e11b10b5f681970bebf30c7593aab116d1c5416e617
- Size of remote file:
- 26.2 MB
- SHA256:
- dfdd8e045f729b684861ca63fd1f9dfa6b8b144e30facdc846249e2dc184cecb
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