Audio Classification
Transformers
TensorBoard
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use explorer7/gtzan-ast-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use explorer7/gtzan-ast-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="explorer7/gtzan-ast-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("explorer7/gtzan-ast-classifier") model = AutoModelForAudioClassification.from_pretrained("explorer7/gtzan-ast-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from explorer7/gtzan-ast-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/explorer7/gtzan-ast-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://explorer7/gtzan-ast-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/explorer7/gtzan-ast-classifier/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 6292d54fc178af1949d6e153469626ecd13280df9321127df16af762b07adcbb
- Size of remote file:
- 5.91 kB
- SHA256:
- 891b9ade12a3809dd5f48c17deb388f85adff0e3be7c475866d1f6c945ae3261
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