Instructions to use manonkrk/deepspeech2_like_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use manonkrk/deepspeech2_like_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://manonkrk/deepspeech2_like_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17fa1433f53f88cea492caf1eba5afba7226c9cf1f179f6953c998b08ecb7cb5
- Size of remote file:
- 285 MB
- SHA256:
- cc9960b1bed242ce82c094f4e4d5ee8100b1c8b8fbea2569f342bcfdefe0fc92
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