Instructions to use kerasformers/moonshine_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/moonshine_base with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/moonshine_base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/moonshine_base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.1.3", | |
| "preprocessor_module": "kerasformers.models.moonshine", | |
| "preprocessor_class": "MoonshineFeatureExtractor", | |
| "variant": "moonshine_base", | |
| "sampling_rate": 16000, | |
| "padding_value": 0.0 | |
| } |