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
metadata
license: openrail
datasets:
- ashraq/esc50
language:
- en
metrics:
- accuracy
library_name: keras
pipeline_tag: audio-classification
tags:
- biology
- code