Instructions to use kerasformers/whisper_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/whisper_tiny 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_tiny 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_tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5114a4cc790376e0e8e503d1277b451d79ab7b6830ad63361d68c0a46150aec
- Size of remote file:
- 151 MB
- SHA256:
- 5271cce068b180b7160c390edd1a9ad94e5c05400f79912a20663bb8f464ef6b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.