---
language: 
  - en
tags:
- automatic-speech-recognition
datasets:
- LIUM/tedlium
license: cc-by-4.0
metrics:
- name: Dev WER
  type: wer
  value: 9.0
- name: Test WER
  type: wer
  value: 6.4
---

## wav2vec2-2-bart-large-tedlium
This model is a sequence-2-sequence (seq2seq) model trained on the [TEDLIUM](https://huggingface.co/datasets/LIUM/tedlium) corpus (release 3). 

It combines a speech encoder with a text decoder to perform automatic speech recognition. The encoder weights are initialised with the [Wav2Vec2 LV-60k](https://huggingface.co/facebook/wav2vec2-large-lv60) checkpoint from [@facebook](https://huggingface.co/facebook). The decoder weights are initialised with the [Bart large](https://huggingface.co/facebook/bart-large) checkpoint from [@facebook](https://huggingface.co/facebook).