Instructions to use zeromodels/whisper_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/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://zeromodels/whisper_tiny") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
4c48135 2d75601 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"library_name": "zeromodels",
"zeromodels_version": "1.1.3",
"preprocessor_module": "zeromodels.models.whisper",
"preprocessor_class": "WhisperFeatureExtractor",
"variant": "whisper_tiny",
"sampling_rate": 16000,
"n_fft": 400,
"hop_length": 160,
"n_mels": 80,
"chunk_length": 30
} |