Instructions to use dima806/music_genres_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/music_genres_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dima806/music_genres_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("dima806/music_genres_classification") model = AutoModelForAudioClassification.from_pretrained("dima806/music_genres_classification") - Notebooks
- Google Colab
- Kaggle
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See https://www.kaggle.com/code/dima806/music-genre-classification-wav2vec2-base-960h for details.
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See https://medium.com/data-and-beyond/building-a-free-advanced-music-genre-classification-pipeline-using-machine-learning-654b0de7cc3e and https://www.kaggle.com/code/dima806/music-genre-classification-wav2vec2-base-960h for details.
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