Instructions to use nwirandx/medicalnet-resnet3d50-23datasets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nwirandx/medicalnet-resnet3d50-23datasets with Transformers:
# Load model directly from transformers import ResNet3D50ForImageClassification model = ResNet3D50ForImageClassification.from_pretrained("nwirandx/medicalnet-resnet3d50-23datasets", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12891c4ff4992b533f70eec5550acfaa0fd92ad49009d235b91f682f960560e3
- Size of remote file:
- 185 MB
- SHA256:
- cd44e149879827510edb70f9f341ab603501a72e95072491268e56076394db38
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