Instructions to use mazesmazes/tiny-audio-next-sat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-sat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-sat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-sat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf99d759a610360cc13c5ad3f72a5cd847756e913e8960f2b12e8151686c109c
- Size of remote file:
- 5.39 kB
- SHA256:
- 187e3b057fb0472c2bdf405679cdceb09aee7bbe3a2d3c14cf080fef9c2326cc
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