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:
- 4f65ec04de81511d6c3cb2901f06075c037864b7f6ee51ce7d98050f4ff616fc
- Size of remote file:
- 26.2 MB
- SHA256:
- 015b667f7fcb986beb31c44ab3abe84da7d4be0fdc82a6765e9030ff8899ae35
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