Instructions to use mazesmazes/tiny-audio-next-thurs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-thurs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-thurs", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-thurs", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 628d60c4b4385a448581e1fad2d85a2c25a1a50774a8d0cc07ac7d58c89995e5
- Size of remote file:
- 5.39 kB
- SHA256:
- 3664ca641bbdd8128ff444a16300c43bebe2978848054a1f339053eb61af4135
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