Instructions to use Matthijs/encodec_48khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/encodec_48khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Matthijs/encodec_48khz")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("Matthijs/encodec_48khz") model = AutoModel.from_pretrained("Matthijs/encodec_48khz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70e333aef0659d8e84a231565a4a6dc92456d17e0b08072bc9cf9c1112af1130
- Size of remote file:
- 76.3 MB
- SHA256:
- d4981814184f0675721a8e82530b66f33096ab26799b81153d791b8b63d90814
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