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:
- 6daa330ef559656dac90ce1de5286a9791ca4c312ef800d9e7f03860dd3424cc
- Size of remote file:
- 19.7 MB
- SHA256:
- 05bbb8448b7f126f2ba7e0cff7b30e1225f5f53de733f99f1d47651e392ad44f
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