Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use ramsri818/ast-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramsri818/ast-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ramsri818/ast-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("ramsri818/ast-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("ramsri818/ast-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ramsri818/ast-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/ramsri818/ast-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://ramsri818/ast-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ramsri818/ast-finetuned-gtzan/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 25789107d384e70f144be3839f34c86f62ca20946aaeb5cf994281c11ceb97d3
- Size of remote file:
- 4.03 kB
- SHA256:
- ad2741c85b37a006be089b6e2639875f34577d47a43ebd98e33307822b39925a
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