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
| pipeline_tag: automatic-speech-recognition | |
| license: apache-2.0 | |
| library_name: kerasformers | |
| tags: | |
| - keras | |
| - kerasformers | |
| - whisper | |
| - tf | |
| - jax | |
| - pytorch | |
| # whisper_base (Keras 3) | |
| Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers), mirrored from the GitHub release. License: `apache-2.0`. | |
| ```python | |
| from kerasformers.models.whisper import WhisperSpeechToText, WhisperProcessor | |
| model = WhisperSpeechToText.from_weights("whisper_base") | |
| processor = WhisperProcessor.from_weights("whisper_base") | |
| ``` | |