Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use khizarAI/AST-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khizarAI/AST-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="khizarAI/AST-finetuned-gtzan")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("khizarAI/AST-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("khizarAI/AST-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from khizarAI/AST-finetuned-gtzan: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/khizarAI/AST-finetuned-gtzan/resolve/main/training_args.bin
- Command line
-
hf download hf://khizarAI/AST-finetuned-gtzan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/khizarAI/AST-finetuned-gtzan/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- b11bc60193fa4d4dbf939a304aeb266e71af28ffbfeeb0398205413b82130cfd
- Size of remote file:
- 5.24 kB
- SHA256:
- d4f033fe3c265006eccf63ace815aadd486b6c27ee2181f45141f2243c5aaec6
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