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:
- 6941545988ee827a6af1281be33f6b1921444308e5b48cdf4399b6c3d142f40c
- Size of remote file:
- 19.7 MB
- SHA256:
- 5bfef321c09f2acdc861e9fb1e70cde42ad68b95e4d5add812b4f5a92f0aad39
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