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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://corentinm7/MyoQuant-SDH-Model") - Notebooks
- Google Colab
- Kaggle
Download .python-version from corentinm7/MyoQuant-SDH-Model: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
-
https://huggingface.co/corentinm7/MyoQuant-SDH-Model/resolve/main/.python-version
- Command line
-
hf download hf://corentinm7/MyoQuant-SDH-Model/.python-version
-
curl -L -o .python-version https://huggingface.co/corentinm7/MyoQuant-SDH-Model/resolve/main/.python-version
5 Bytes
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