Instructions to use keras/whisper_tiny_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/whisper_tiny_multi with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/whisper_tiny_multi") - Keras
How to use keras/whisper_tiny_multi with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/whisper_tiny_multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcc1ca104401bbe73bb6ec397dbc0066259b5dc2feeab20841e3a0f9b0a7490c
- Size of remote file:
- 151 MB
- SHA256:
- 8920958523203b594458d307ab5618d58fa179633f6643de9596ba44fe9ae845
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