Audio Classification
speechbrain
PyTorch
embeddings
Language
Identification
ECAPA-TDNN
TDNN
VoxLingua107
Instructions to use interfaze-ai/speech_lang_det with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use interfaze-ai/speech_lang_det with speechbrain:
from speechbrain.pretrained import EncoderClassifier model = EncoderClassifier.from_hparams( "interfaze-ai/speech_lang_det" ) model.classify_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Download embedding_model.ckpt from interfaze-ai/speech_lang_det: direct link, hf CLI and curl.
- Browser
- Download file 84.5 MB
-
https://huggingface.co/interfaze-ai/speech_lang_det/resolve/main/embedding_model.ckpt
- Command line
-
hf download hf://interfaze-ai/speech_lang_det/embedding_model.ckpt
-
curl -L -o embedding_model.ckpt https://huggingface.co/interfaze-ai/speech_lang_det/resolve/main/embedding_model.ckpt
84.5 MB
- Xet hash:
- b0cea0189ff503bce26801fcf8d213cdf491e2299897b39eabf2fbba62016fe3
- Size of remote file:
- 84.5 MB
- SHA256:
- ab750d5c06d713477045fa798fab5d33e959dbc0dfe4de510a9a47844c79a19a
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