Keras
TensorBoard
image
myology
biology
histology
muscle
cells
fibers
myopathy
SDH
myoquant
classification
mitochondria
Eval Results (legacy)
Instructions to use corentinm7/MyoQuant-SDH-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use corentinm7/MyoQuant-SDH-Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://corentinm7/MyoQuant-SDH-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 225377d346f154e11b434e2f3dc6fccd675ff0bf119101b721404cb279591e70
- Size of remote file:
- 283 MB
- SHA256:
- ef8a41b1fb22d1f94b96349f86cb7e0e85fae9b15027b35ee8b4c63acf3eeeee
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