Instructions to use mazesmazes/tiny-audio-next-s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-s2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-s2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-s2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 367f78d77c4d9490b91b9fdfe5b50ec8861a0c4548e9f265068c17a1f64fcb73
- Size of remote file:
- 5.39 kB
- SHA256:
- c418def66865c4545adc35608ee5c17828343198b00916a5a273f403948fa3b0
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