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
Commit History
-
Upload unet_45951_sin_rayas_.keras
Verified signaturee127d79
-
Rename unet_45951_v1.1.keras to unet_45951.keras
Verified signature3e287d6 -
Rename model_best.keras to unet_45956.keras
Verified signaturebeec014
-
Upload unet_45951_v1.1.keras
Verified signature9f67d6d
-
Upload unet_grano_ferritico.keras
Verified signaturedfd79b1
-
model v4 keras format
Verified signatureff0201b -
initial commit
Verified signatured805fa8