Instructions to use mazesmazes/tiny-audio-next with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 956fd054dbd3c61c0770956e3812f4107b5c5f6abe7aaaa5e357d349a3e8d04d
- Size of remote file:
- 5.33 kB
- SHA256:
- 5490867548be728a70c6e25507fd19af38a9222837f2f6727dde3569b57a47b3
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