Instructions to use mazesmazes/tiny-audio-next-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-plus", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-plus", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41b832e1ac81a2d350658e8f719cb016d337ac5d6b361012fb0a19215fc8b73a
- Size of remote file:
- 5.39 kB
- SHA256:
- 463210840cc1951378ebb9298253b4a4e7810e425ae891e65396b45cbf527021
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