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:
- f66375ae40ae9e0720995abda1ae668efa49af938c3fa2b0f0033c23a7abdaa8
- Size of remote file:
- 26.2 MB
- SHA256:
- a44a350ad62e94120c623a2ac16fda7b46293dfc702ac63ce1dbe341928b7307
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