Instructions to use mazesmazes/tiny-audio-next-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mazesmazes/tiny-audio-next-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mazesmazes/tiny-audio-next-encoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mazesmazes/tiny-audio-next-encoder", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3a703e571be375beceaf203766e2dfd93534f79b5eabb8f50d02174cd42a7d5
- Size of remote file:
- 25.2 MB
- SHA256:
- 7f603808de744d8bf8908f2064f7f3c40f05b756f33767f73ef48bf13ce82496
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