Instructions to use bombshelll/unet-brain-tumor-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use bombshelll/unet-brain-tumor-segmentation with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("bombshelll/unet-brain-tumor-segmentation") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from bombshelll/unet-brain-tumor-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 708 kB
-
https://huggingface.co/bombshelll/unet-brain-tumor-segmentation/resolve/main/saved_model.pb
- Command line
-
hf download hf://bombshelll/unet-brain-tumor-segmentation/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/bombshelll/unet-brain-tumor-segmentation/resolve/main/saved_model.pb
708 kB
- Xet hash:
- 94827aefc9811c4aa8cdef133bddce36f97ee9719353aef9a972a53646cc1839
- Size of remote file:
- 708 kB
- SHA256:
- 0e1ac58faaff18c19ba4760a7294cc927fd2849e4f2e98a0b18ec0709ed7ea10
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