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:
- fc9c79ea034deb1b2ba0dd01c396b8b9b70f642878f2698a0f4ef794110e94b6
- Size of remote file:
- 761 Bytes
- SHA256:
- e5a0f7488e2920961afba905cc88f6510170fc4f6ef580f194ade7a217ee0bc7
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