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Update README.md
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README.md
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## Usage
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```python
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from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
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ipd.Audio(wav, rate=rate)
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---
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library_name: fairseq
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task: audio-to-audio
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tags:
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- fairseq
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- audio
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- audio-to-audio
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- speech-to-speech-translation
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datasets:
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- mtedx
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- covost2
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- europarl_st
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- voxpopuli
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widget:
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- example_title: Common Voice sample 1
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src: https://huggingface.co/facebook/xm_transformer_600m-es_en-multi_domain/resolve/main/common_voice_es_19966634.flac
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---
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# xm_transformer_600m-es_en-multi_domain
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[W2V2-Transformer](https://aclanthology.org/2021.acl-long.68/) speech-to-text translation model from fairseq S2T ([paper](https://arxiv.org/abs/2010.05171)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text)):
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- Spanish-English
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- Trained on mTEDx, CoVoST 2, EuroParl-ST, VoxPopuli, Multilingual LibriSpeech, Common Voice v7 and CCMatrix
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- Speech synthesis with [facebook/fastspeech2-en-ljspeech](https://huggingface.co/facebook/fastspeech2-en-ljspeech)
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## Usage
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```python
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from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
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)
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ipd.Audio(wav, rate=rate)
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```
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