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:
- 223391095ce06bafe73fead17f4d25e3994eded16a532ff1d3b8bedebea7178f
- Size of remote file:
- 190 Bytes
- SHA256:
- 4be450dde3b0273bb9787637cfbd28fe04a7ba6ab9d36ac48e92b11e350ffc23
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