Instructions to use gitgato/speechbrain-maba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitgato/speechbrain-maba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="gitgato/speechbrain-maba")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("gitgato/speechbrain-maba") model = AutoModelForAudioClassification.from_pretrained("gitgato/speechbrain-maba", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed9dd7eecfc31c6d3ae8a40ffddc72eb46384afc894b362440ff84f267d67ef9
- Size of remote file:
- 83.3 MB
- SHA256:
- 0575cb64845e6b9a10db9bcb74d5ac32b326b8dc90352671d345e2ee3d0126a2
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