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
- Xet hash:
- c437a28c578ad546a544a8f10dc6281b92325fe686bf582438c1e1d24789b8f6
- Size of remote file:
- 247 MB
- SHA256:
- 835ca40ce2b73f67add5c9e24bb9d854b9da2cb27414872f275fa8a5b8325cb2
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