Instructions to use subhan1501/MURA-EfficientNetV2-Fracture-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use subhan1501/MURA-EfficientNetV2-Fracture-Detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://subhan1501/MURA-EfficientNetV2-Fracture-Detection") - Notebooks
- Google Colab
- Kaggle
Upload trained EfficientNetV2L model weights
Browse files- MURA_EfficientNetV2L.h5 +3 -0
MURA_EfficientNetV2L.h5
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oid sha256:7e87a85779ae09fecf0690f25a8d96682102b84a3be147ece448e9f28ff12f92
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size 476057016
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