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:
- a70b5387ce226c0e5bdd3e0528db764aefbf312912303e17782fa6d0838e6363
- Size of remote file:
- 26.2 MB
- SHA256:
- f4755070dce5cef52c28aecd13110834f1830548bbf834ce8096f0da1b7ee7ce
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