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:
- 4075b3a46126060518bd8f9a9e7e52c6342fe3831b5ba961ec3f374ef43404bf
- Size of remote file:
- 632 Bytes
- SHA256:
- 307b65bc23e797c0a1b5dfdc29b86354c0498f08a335b66758c1901f10f60d01
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