Automatic Speech Recognition
speechbrain
PyTorch
English
wav2vec2
CTC
Attention
Transformer
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use speechbrain/asr-wav2vec2-librispeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/asr-wav2vec2-librispeech with speechbrain:
from speechbrain.pretrained import EncoderASR model = EncoderASR.from_hparams( "speechbrain/asr-wav2vec2-librispeech" ) model.transcribe_file("file.wav") - Notebooks
- Google Colab
- Kaggle
File size: 158 Bytes
830ac4a | 1 2 3 4 5 6 7 8 9 | {
"do_normalize": true,
"feature_size": 1,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000
}
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