Instructions to use rishirajbal/UNET_plus_plus_Brain_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use rishirajbal/UNET_plus_plus_Brain_segmentation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://rishirajbal/UNET_plus_plus_Brain_segmentation") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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---
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license: mit
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datasets:
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- rishirajbal/UNET_plus_plus_BRAIN_DATA
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- rishirajbal/UNET_plus_plus_Brain_segmentation
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pipeline_tag: image-segmentation
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library_name: keras
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tags:
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- medical
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---
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