Instructions to use BrendaTellez/SoundClassificationCNNRNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BrendaTellez/SoundClassificationCNNRNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BrendaTellez/SoundClassificationCNNRNN") - Notebooks
- Google Colab
- Kaggle
Commit ·
0583cb9
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Parent(s): cf87eb1
Upload ESC-50-master.zip
Browse files- ESC-50-master.zip +3 -0
ESC-50-master.zip
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version https://git-lfs.github.com/spec/v1
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size 645694810
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