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:
- aacd4907dbdc29a0e1526ba11b1d4419808c70598fa08edf690a2d1f2512fdb1
- Size of remote file:
- 26.2 MB
- SHA256:
- 958b2e6b7d1c19d25c0192f7286781b833134a188e6a8f72286bc55d29ccddd8
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