Instructions to use AlbertiTechnology/MgO-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AlbertiTechnology/MgO-v1 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://AlbertiTechnology/MgO-v1") - Notebooks
- Google Colab
- Kaggle
upload unet_45951.keras
Browse files- unet_45951.keras +3 -0
unet_45951.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0ce39479e352bc4247d0f7b0f1137237d3e2a81019843dbe9b34fd44c01b949
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size 943509848
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