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:
- fcb0a0013c14030dfb03897c85d6c26fa898011a76909d8482440a45a0181780
- Size of remote file:
- 26.2 MB
- SHA256:
- 1bd6534fc0644acd8e8da2b8012a5121b1aa716185dbb188ec3275f270cdff05
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