Audio Classification
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use taohoang/whisper-tiny-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taohoang/whisper-tiny-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="taohoang/whisper-tiny-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("taohoang/whisper-tiny-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("taohoang/whisper-tiny-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9295f7201e4f34ea1bcf697e583cb49c582bfe577261f5e73da37c38a5f91872
- Size of remote file:
- 33.3 MB
- SHA256:
- 3c66cffbdec24fac511270a334e98ce8b22192211b58f335c4ce148fbbff22d8
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