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
Commit History
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Rename LJSpeech/wavlm/kmeans-cluster-1000-layer-12.pt to LJSpeech/wavlm/ LJSpeech_wavlm_k1000_L12.pt
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Rename LibriSpeech-100-360-500 / hubert/LibriSpeech_hubert_k1000_L18.pt to LibriSpeech-100-360-500/hubert/LibriSpeech_hubert_k1000_L18.pt
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Rename LibriSpeech-100-360-500 /hubert/LibriSpeech_hubert_k1000_L1.pt to LibriSpeech-100-360-500/hubert/LibriSpeech_hubert_k1000_L1.pt
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Rename LibriSpeech-100-360-500 / hubert/LibriSpeech_hubert_k1000_L1.pt to LibriSpeech-100-360-500 /hubert/LibriSpeech_hubert_k1000_L1.pt
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Rename LJSpeech/hubert/ljspeech-cluster-1000-layer-3.pt to LJSpeech/hubert/LJSpeech_hubert_k1000_L3.pt
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Rename LJSpeech/hubert/kmeans-cluster-1000-layer-23.pt to LJSpeech/hubert/LJSpeech_hubert_k1000_L23.pt
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Rename LJSpeech/hubert/kmeans-cluster-1000-layer-18.pt to LJSpeech/hubert/LJSpeech_hubert_k1000_L18.pt
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Rename LJSpeech/hubert/LJSpeech-cluster-1000-layer-7.pt to LJSpeech/hubert/LJSpeech_hubert_k1000_L7.pt
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Rename LJSpeech/hubert/LJSpeech-cluster-1000-layer-12.pt to LJSpeech/hubert/LJSpeech_hubert_k1000_L12.pt
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Rename LibriSpeech-100-360-500 / hubert/kmeans-cluster-1000-layer-1.pt to LibriSpeech-100-360-500 / hubert/LibriSpeech_hubert_k1000_L1.pt
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Rename LibriSpeech-100-360-500 / hubert/kmeans-cluster-1000-layer-18.pt to LibriSpeech-100-360-500 / hubert/LibriSpeech_hubert_k1000_L18.pt
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Create LibriSpeech-100-360-500 / hubert/t.txt
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initial commit
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