Instructions to use logasja/auramask-ensemble-slumber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-slumber with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/auramask-ensemble-slumber") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a37f1b064df140b561dfa706629c99bda351a329146a53245de6df461cd52b8
- Size of remote file:
- 274 MB
- SHA256:
- 0514033bdbb36d457306b0198c55d7473d47b39503076c3c9823643d9edc9ebf
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