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  pipeline_tag: text-to-speech
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  ---
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  # Massively Multilingual Speech (MMS): Ashéninka, Pichis Text-to-Speech
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  This repository contains the **Ashéninka, Pichis (cpu)** language text-to-speech (TTS) model checkpoint.
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  and their ISO 639-3 codes in the [MMS Language Coverage Overview](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html),
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  and see all MMS-TTS checkpoints on the Hugging Face Hub: [facebook/mms-tts](https://huggingface.co/models?sort=trending&search=facebook%2Fmms-tts).
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- MMS-TTS is available in the 🤗 Transformers library from version 4.33 onwards.
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- ## Model Details
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  VITS (**V**ariational **I**nference with adversarial learning for end-to-end **T**ext-to-**S**peech) is an end-to-end
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  speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational
 
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  pipeline_tag: text-to-speech
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  ---
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+ # ADD LINE
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  # Massively Multilingual Speech (MMS): Ashéninka, Pichis Text-to-Speech
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  This repository contains the **Ashéninka, Pichis (cpu)** language text-to-speech (TTS) model checkpoint.
 
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  and their ISO 639-3 codes in the [MMS Language Coverage Overview](https://dl.fbaipublicfiles.com/mms/misc/language_coverage_mms.html),
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  and see all MMS-TTS checkpoints on the Hugging Face Hub: [facebook/mms-tts](https://huggingface.co/models?sort=trending&search=facebook%2Fmms-tts).
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+ ## Model Details add-word
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  VITS (**V**ariational **I**nference with adversarial learning for end-to-end **T**ext-to-**S**peech) is an end-to-end
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  speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational