Instructions to use HamzaSidhu786/speech-accent-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamzaSidhu786/speech-accent-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="HamzaSidhu786/speech-accent-detection")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("HamzaSidhu786/speech-accent-detection") model = AutoModelForAudioClassification.from_pretrained("HamzaSidhu786/speech-accent-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60bd875185516ff73227db7e914b11feb7ff5668c9563421a988bde5f8c6789e
- Size of remote file:
- 5.3 kB
- SHA256:
- 431f968a089f1840242dfac1be97f6c58cfe96ed1ad3bfa6a9f0361eb7969959
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