Instructions to use Bgeorge/model_dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bgeorge/model_dialect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Bgeorge/model_dialect")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bgeorge/model_dialect") model = AutoModelForAudioClassification.from_pretrained("Bgeorge/model_dialect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3ba0a90f5b0089f9857f1d8e662d2e428214814c64707ed2a0cadb94e710261
- Size of remote file:
- 5.3 kB
- SHA256:
- 0da0b2b5bf3429c0edce6778e0591ebb5c1e5ea18d09dd6a1be4e444e9d26a99
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