Instructions to use logasja/auramask-ensemble-gingham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-gingham 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://logasja/auramask-ensemble-gingham") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload ./assets/input.png with huggingface_hub
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Save model using Keras.
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