Keras
English
medical-imaging
oncology
lung-cancer
ct-scan
histopathology
multi-modal
sota
benchmark-beater
vexai
oncodetect
tensorflow
efficientnet
densenet
Instructions to use Arioron/VexAI-OncoDetect-BCT-Titan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Arioron/VexAI-OncoDetect-BCT-Titan with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Arioron/VexAI-OncoDetect-BCT-Titan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b830aacc9793e661d411f465ddfbbf314545726fbe8f15112e1f9c37e551223d
- Size of remote file:
- 253 MB
- SHA256:
- 4c34f0407bd39158f292e56464f4ebba06c6ffad87a41c1143bde675cd1f039d
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