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
Add Open ASR Leaderboard evaluation results
#2
by SaylorTwift HF Staff - opened
No description provided.