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:
- 68375f3bef5a0d19fe2ead1bfa3bcbf02e253ca7de8a72dd56cabdafc2395104
- Size of remote file:
- 5.53 MB
- SHA256:
- fd9e3634fe68bd0a427c95e354c0c677374f62b3f434e45b78599950d860d535
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