Audio Classification
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use tae98/whisper-base.en-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tae98/whisper-base.en-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="tae98/whisper-base.en-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("tae98/whisper-base.en-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("tae98/whisper-base.en-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 17
Browse files
pytorch_model.bin
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runs/Aug04_14-42-26_f0f8bb5122c0/events.out.tfevents.1691160164.f0f8bb5122c0.14839.0
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