Instructions to use DriveMyScream/Speech_Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DriveMyScream/Speech_Recognition with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DriveMyScream/Speech_Recognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ff73adfe26bc988db6045af735623168886080b271c39bec715c2b3cfa2de26
- Size of remote file:
- 44.8 kB
- SHA256:
- 70ab2e0994d2837751c2976fbabcac35ec765aa77f6d4ffd57b6085d71a0e142
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