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:
- c85252f413c2c909932fd630417e8ae01d727ea213c39e52975653472a4a0edf
- Size of remote file:
- 26.2 MB
- SHA256:
- b23ad6ab6afde2a8dd991c67bf3a9a7afd9d935fe9116d2a996737c365177371
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