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:
- e83ee54ee1b9555eaf2a95894dbe4bc8c9901eb3537be78f4dc7189878c532df
- Size of remote file:
- 26.2 MB
- SHA256:
- 3d269ac5235e8aa6d568a6e0e80a5d2607205ab2e713d8e4c4b64313da262e5f
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