Instructions to use Prince53/deep-speech-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Prince53/deep-speech-detection with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Prince53/deep-speech-detection") - Keras
How to use Prince53/deep-speech-detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Prince53/deep-speech-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88be0d15fc65fd6ce4f2ebcc8ebdb12271625ff62f6017e4d793f478e6fb2c0b
- Size of remote file:
- 186 kB
- SHA256:
- c60b435852310104424c6ac8eda79f27fcce4d49edc4a8b2b9e6d2455506b213
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