sanchit-gandhi
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wav2vec2-2-bart-large-tedlium

Automatic Speech Recognition

speech-encoder-decoder

Inference Endpoints

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sanchit-gandhi commited on Jul 4, 2022

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@@ -15,7 +15,7 @@ metrics:
   value: 6.4
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-## 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).

   value: 6.4
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+## 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).