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
- Xet hash:
- 42b5de6adb534c11644acf711ac9ffd2a52b4c57145b0b8a994fcfa3366ab410
- Size of remote file:
- 56 Bytes
- SHA256:
- f8baa4e6995eda1af37b113932c147f74a9f82104519b5de4df16d06d062628e
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