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
Delete LibriSpeech-100-360-500/hubert/LibriSpeech_hubert_k2000_L12.pt
Browse files
LibriSpeech-100-360-500/hubert/LibriSpeech_hubert_k2000_L12.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:593717c7bdb8fd55a2396c8125ce37939066ad4cf12aa062109c3ed990a4da0e
|
| 3 |
-
size 16495041
|
|
|
|
|
|
|
|
|
|
|
|