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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AlbertiTechnology/MgO-v1") - Notebooks
- Google Colab
- Kaggle
Upload unet_45951.keras with huggingface_hub
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 sha256:7bbc9c96686b83e157fb8641a9a01b028c1469530be9c6a3118012c040407b0a
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size 943509848
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