# Librispeech fine-tuning

Wav2Vec2 Conformer model fine-tuned on 100 hours of Librispeech data, incorporating rotary position embedding technology

Data2Vec is a general self-supervised learning framework applicable to speech, natural language processing, and computer vision tasks. This model is a large-scale model pre-trained and fine-tuned on 100 hours of Librispeech audio data.

Data2Vec is a general self-supervised learning framework applicable to speech, vision, and language tasks. This large audio model is pre-trained and fine-tuned on 10 minutes of Librispeech data, suitable for 16kHz sampled speech audio.

Data2Vec is a general self-supervised learning framework applicable to speech, vision, and language tasks. This audio base model was pre-trained and fine-tuned on 100 hours of Librispeech audio data.