Instructions to use speechbrain/SSL_Quantization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use speechbrain/SSL_Quantization with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("speechbrain/SSL_Quantization", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Rename CV-AR/hubert/kmeans-cluster-2000-layer-7.pt to CV-AR/hubert/CV-AR_hubert_k2000_L7.pt
dbb3254 verified - Xet hash:
- 575edd08b6618251b40be93afa399ccf6b573d3ec8353a445deffd5ccaf8ba37
- Size of remote file:
- 16.4 MB
- SHA256:
- a3456acd3e0f1ffd8ed0a844225434ee76b7c1959c7f7c602422464ae62ed423
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