Instructions to use kerasformers/whisper_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/whisper_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/whisper_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/whisper_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4185de27cd19f50f17f1067c5422e224048f5bc9cb2080ba8a066604b190d94
- Size of remote file:
- 291 MB
- SHA256:
- 32db29f51a15246343dd40eaccda9454945ab9fbed780f3c2a977e19bd0fed46
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