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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from taohoang/whisper-tiny-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/taohoang/whisper-tiny-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://taohoang/whisper-tiny-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/taohoang/whisper-tiny-finetuned-gtzan/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- a030054a39230e910fdf07a1dec73ef3231290c09106ec09f57ff23b8be99608
- Size of remote file:
- 3.96 kB
- SHA256:
- f2768a93b52aa6b9301efcd79ad99aaf256462d69bcae907bb6a0ddaf8e772fb
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