Instructions to use zeromodels/whisper_large_v3_turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/whisper_large_v3_turbo with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/whisper_large_v3_turbo") - Notebooks
- Google Colab
- Kaggle
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
04c3b13 verified | { | |
| "library_name": "zeromodels", | |
| "zeromodels_version": "1.1.3", | |
| "preprocessor_module": "zeromodels.models.whisper", | |
| "preprocessor_class": "WhisperFeatureExtractor", | |
| "variant": "whisper_large_v3_turbo", | |
| "sampling_rate": 16000, | |
| "n_fft": 400, | |
| "hop_length": 160, | |
| "n_mels": 128, | |
| "chunk_length": 30 | |
| } |