Instructions to use logasja/auramask-ensemble-ashby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-ashby 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-ashby") - Notebooks
- Google Colab
- Kaggle
tflite version
Browse files- model.tflite +3 -0
model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:11d636c0f3f978d32ea0f48307c348e6672f3b493719cabfe0f8df9c78b35cbd
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size 273816760
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