Instructions to use h3rsh/respiratory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use h3rsh/respiratory with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://h3rsh/respiratory") - Notebooks
- Google Colab
- Kaggle
Create model_index.json
Browse files- model_index.json +5 -0
model_index.json
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{
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"library_name": "keras",
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"tags": ["audio-classification"],
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"pipeline_tag": "audio-classification"
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}
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