facebook / automatic-speech-recognition Open weights updated 4 years ago

wav2vec2-large-960h-lv60-self

The large model pretrained and fine-tuned on 960 hours of Libri-Light and Librispeech on 16kHz sampled speech audio. Model was trained with Self-Training objective. When using the model make sure that your speech input is also sampled at 16Khz.

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Commercial use: allowed apache-2.0 Not gated 1 languages View on Hugging Face ↗

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Specifications

Architecture
Wav2Vec2ForCTC
Vocabulary
32
Layers / heads
24 / 16
Licence
apache-2.0
First seen on the Hub
2022-03-02
Training datasets
librispeech_asr
LibriSpeech (clean) (reported)
1.9
LibriSpeech (other) (reported)
3.9
Added to our catalog
2026-07-28
Compare with any automatic-speech-recognition model