Instructions to use musika/bullerengue-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use musika/bullerengue-alpha with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://musika/bullerengue-alpha") - Notebooks
- Google Colab
- Kaggle
Musika Model: musika_bullerengue_alpha
Model provided by: frncscp
Pretrained musika_bullerengue_alpha model for the Musika system for fast infinite waveform music generation. Introduced in this paper.
How to use
You can generate music from this pretrained musika_bullerengue_alpha model using the notebook available here.
Model description
This pretrained GAN system consists of a ResNet-style generator and discriminator. During training, stability is controlled by adapting the strength of gradient penalty regularization on-the-fly. The gradient penalty weighting term is contained in switch.npy. The generator is conditioned on a latent coordinate system to produce samples of arbitrary length. The latent representations produced by the generator are then passed to a decoder which converts them into waveform audio. The generator has a context window of about 12 seconds of audio.
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