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:
- c474f5276eecbdf052bcf5d2bd02e133a311b4dbe4d0fbb70f91e7b7c2792658
- Size of remote file:
- 5.39 kB
- SHA256:
- 3a569c150a324521151dbfb83dc500d6af8450313084538a126f450600782a0c
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