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 ·
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Parent(s): 0583cb9
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README.md
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license: openrail
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license: openrail
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datasets:
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- ashraq/esc50
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language:
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- en
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metrics:
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- accuracy
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library_name: keras
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pipeline_tag: audio-classification
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tags:
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- biology
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- code
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