Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use LBR47/wav2vec2-base-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LBR47/wav2vec2-base-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="LBR47/wav2vec2-base-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("LBR47/wav2vec2-base-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("LBR47/wav2vec2-base-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
Ctrl+K