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
Download preprocessor_config.json from speechbrain/asr-wav2vec2-librispeech: direct link, hf CLI and curl.
- Browser
- Download file 158 Bytes
-
https://huggingface.co/speechbrain/asr-wav2vec2-librispeech/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://speechbrain/asr-wav2vec2-librispeech/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/speechbrain/asr-wav2vec2-librispeech/resolve/main/preprocessor_config.json
158 Bytes
| { | |
| "do_normalize": true, | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |