Instructions to use neerajs7/AST-audio-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neerajs7/AST-audio-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="neerajs7/AST-audio-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("neerajs7/AST-audio-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pth from neerajs7/AST-audio-classifier: direct link, hf CLI and curl.
- Browser
- Download file 346 MB
-
https://huggingface.co/neerajs7/AST-audio-classifier/resolve/main/model.pth
- Command line
-
hf download hf://neerajs7/AST-audio-classifier/model.pth
-
curl -L -o model.pth https://huggingface.co/neerajs7/AST-audio-classifier/resolve/main/model.pth
346 MB
- Xet hash:
- 080558840cff47ec42d21b7a9b2576f3e7a25f80889106fb2248f8091d3adc50
- Size of remote file:
- 346 MB
- SHA256:
- e2b49489c3a1e688a7a428cdba4db3afaf625838bf4b3c1065d40b6031006960
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