Instructions to use iisking/AST-vocal-disorder-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iisking/AST-vocal-disorder-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="iisking/AST-vocal-disorder-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("iisking/AST-vocal-disorder-classification") model = AutoModelForAudioClassification.from_pretrained("iisking/AST-vocal-disorder-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from iisking/AST-vocal-disorder-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/iisking/AST-vocal-disorder-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://iisking/AST-vocal-disorder-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iisking/AST-vocal-disorder-classification/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- a14cf8c7a11d06df4c7c2b8f19f6c018d9bc2d433c3464168699e32d4f9bb57e
- Size of remote file:
- 5.11 kB
- SHA256:
- 9dce76439f94b86a3c2df91fd09bd85d03bbf0a8d8f2fbe4414ce174b913170f
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