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:
- 232575dafdb45a2c81ead38b18c4635013db4d0ea5f970d895982c326f20fcc7
- Size of remote file:
- 19.7 MB
- SHA256:
- 0263c489ced96be62ba0a5c997654d3250d0c89b6feb230ce5c33134b320434e
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