Instructions to use Jurabek/AudioClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jurabek/AudioClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Jurabek/AudioClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Jurabek/AudioClassification") model = AutoModelForAudioClassification.from_pretrained("Jurabek/AudioClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4965472fbcccd76d73a7c67118eb27975a34f08fca5b3cf304838c71467ba04
- Size of remote file:
- 378 MB
- SHA256:
- 378bb1662889488cdf8dba16c1b72bce91c18ac93d190cb17bbada8da3ef92c4
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