Instructions to use deeeed/wav2vec2-base-960h-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deeeed/wav2vec2-base-960h-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="deeeed/wav2vec2-base-960h-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("deeeed/wav2vec2-base-960h-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("deeeed/wav2vec2-base-960h-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e16775b76005871b95cf941b167cc0d018f48e914953edb77a88bd99be05b7b
- Size of remote file:
- 378 MB
- SHA256:
- 74e9f44cba526bba79d8bf6f50f346f3f062b608980ca1d32caee841e7084980
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