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-IT/hubert/kmeans-cluster-2000-layer-18.pt to CV-IT/hubert/CV-IT_hubert_k2000_L18.pt
5864e74 verified - Xet hash:
- 18539a4ec2385a743fa0a40a0a3371234dba1da3ff747905f0939e67d3250fd8
- Size of remote file:
- 16.4 MB
- SHA256:
- 7e5a712d23a507a59fff389f3b6d6421f214efcf445e38d1b27aec9e26c12e7c
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