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:
- 73bc8680a87cf3cf10eda1957e561ef76d50871ec4d562608c0796328dce307d
- Size of remote file:
- 26.2 MB
- SHA256:
- c297993a29a632b6eb146835f20de10e4aa739e229a96bd56b651d44456664e1
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