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:
- f5badcfe8835cfef94b15849d4c8deb5d5d9d216bfc210676381eb9c16439f51
- Size of remote file:
- 2.41 GB
- SHA256:
- 5841d68fe58261b7973e667606e73acb4e7b937b3f2f6adb1ca6ae5069b12be0
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