Instructions to use cheerfun/deepix-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheerfun/deepix-st with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cheerfun/deepix-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ebaaca31b16d50a8c317a141cd8a71158e3d272369bc15138e0b0a518a14d17
- Size of remote file:
- 17.1 MB
- SHA256:
- b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
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