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
File size: 271 Bytes
fc25361 | 1 2 3 4 5 6 7 8 9 | {
"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
} |