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:
- c7bfa19be455546709e925ed94dfb646a26e02f21a94211da1c0443d3734fe86
- Size of remote file:
- 129 kB
- SHA256:
- e13c3a167bb4112685670ee896d20e2b565af16b3a4ceeaa8689fa4d22adb8b9
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