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niobures
/
YAMNet

Keras
LiteRT
TF-Keras
ONNX
Model card Files Files and versions
xet
Community

Instructions to use niobures/YAMNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use niobures/YAMNet with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://niobures/YAMNet")
    
  • Notebooks
  • Google Colab
  • Kaggle
YAMNet / YamNet (qualcomm)
45.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
niobures's picture
niobures
YAMNet
706fbd4 verified 8 months ago
  • job_jpew9470p_optimized_onnx
    YAMNet 8 months ago
  • .gitattributes
    1.73 kB
    YAMNet 8 months ago
  • DEPLOYMENT_MODEL_LICENSE.pdf
    110 kB
    xet
    YAMNet 8 months ago
  • LICENSE
    242 Bytes
    YAMNet 8 months ago
  • README.md
    11.8 kB
    YAMNet 8 months ago
  • YamNet_float.dlc
    15 MB
    xet
    YAMNet 8 months ago
  • YamNet_float.tflite
    14.9 MB
    xet
    YAMNet 8 months ago
  • source.txt
    105 Bytes
    YAMNet 8 months ago
  • tool-versions.yaml
    86 Bytes
    YAMNet 8 months ago
  • yamnet.ipynb
    485 kB
    YAMNet 8 months ago