Instructions to use darragh/swinunetr-btcv-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darragh/swinunetr-btcv-small with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darragh/swinunetr-btcv-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33de7f5a032d09ff817863aafc5eaa814e2117b519ddcef24032df581af4cffc
- Size of remote file:
- 70.4 MB
- SHA256:
- d7eb9e68a887405a000fa16ab66f51a390feeb3a2d1897f78dfd74f938327188
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