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:
- 16f9fbc6207d37494308b30fe2cb7e8430ec5092aff9ebbe25cbf1bfc6fca652
- Size of remote file:
- 3.79 kB
- SHA256:
- f889093e6b09818057be36a38768f61ea2bac09999947c4ef93f7382f478227e
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