Instructions to use llillillil/myDysarthriaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llillillil/myDysarthriaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="llillillil/myDysarthriaModel")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("llillillil/myDysarthriaModel") model = AutoModelForAudioClassification.from_pretrained("llillillil/myDysarthriaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4a49af2d2167b4dc8bee1cdbc3453a8f8b310fce1aaf96d2c11647e0a7a42c8
- Size of remote file:
- 378 MB
- SHA256:
- 45806ed98961ff97e25b9fcee37785537f4309f5a738abfc188847d42ae4bd12
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