Instructions to use funlab/DeepLoop-CPGZ-LoopDenoise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/DeepLoop-CPGZ-LoopDenoise with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://funlab/DeepLoop-CPGZ-LoopDenoise") - Notebooks
- Google Colab
- Kaggle
Push Keras model using huggingface_hub.
Browse files- fingerprint.pb +2 -2
- saved_model.pb +2 -2
fingerprint.pb
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saved_model.pb
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size 134465
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