Audio Classification
speechbrain
PyTorch
English
embeddings
Commands
Keywords
Keyword Spotting
xvectors
TDNN
Command Recognition
Instructions to use speechbrain/google_speech_command_xvector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/google_speech_command_xvector with speechbrain:
from speechbrain.pretrained import EncoderClassifier model = EncoderClassifier.from_hparams( "speechbrain/google_speech_command_xvector" ) model.classify_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Download embedding_model.ckpt from speechbrain/google_speech_command_xvector: direct link, hf CLI and curl.
- Browser
- Download file 16.9 MB
-
https://huggingface.co/speechbrain/google_speech_command_xvector/resolve/main/embedding_model.ckpt
- Command line
-
hf download hf://speechbrain/google_speech_command_xvector/embedding_model.ckpt
-
curl -L -o embedding_model.ckpt https://huggingface.co/speechbrain/google_speech_command_xvector/resolve/main/embedding_model.ckpt
16.9 MB
- Xet hash:
- b8fbdbe054f9874ab0307d16b140db8f6b99a85cbe532fd7904169bb4a3d6431
- Size of remote file:
- 16.9 MB
- SHA256:
- 35736f2cc0e6d7562ef2f4c805ee58a91308871bbe76e0cc3efd1c443e114e89
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