Instructions to use darragh/swinunetr-btcv-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darragh/swinunetr-btcv-tiny with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darragh/swinunetr-btcv-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55d2e843441dec7baac8d2d43609d41ad8b72bdec89696cdc7ae0f341752dd3d
- Size of remote file:
- 23.9 MB
- SHA256:
- 770b854f7cb7c18617d877b426d458dc50c3270f269d655f573e98669e1c8d69
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.