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README.md
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base_model:
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- HKUSTAudio/Llasa-1B-Multilingual
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# Llasa-1B-Multilingual-German
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> This model was trained on top of [HKUSTAudio/Llasa-1B-Multilingual](https://huggingface.co/HKUSTAudio/Llasa-1B-Multilingual).
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## Acknowledgments
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- **Hugging Face:** Thanks for the grant that made this project possible.
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base_model:
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- HKUSTAudio/Llasa-1B-Multilingual
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<img src="https://huggingface.co/MultiLlasa/Llasa-1B-Multilingual-German/resolve/main/cover.webp" alt="Indic Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# Llasa-1B-Multilingual-German
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<a target="_blank" href="https://huggingface.co/spaces/SebastianBodza/llasa-1b-tts-german">
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<img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HuggingFace"/>
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</a>
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> This model was trained on top of [HKUSTAudio/Llasa-1B-Multilingual](https://huggingface.co/HKUSTAudio/Llasa-1B-Multilingual).
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## Acknowledgments
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- **Hugging Face:** Thanks for the grant that made this project possible.
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* [**HKUSTAudio:**](https://huggingface.co/HKUSTAudio/Llasa-1B-Multilingual) for providing the model open source and a great inference, training and preprocessing (xcodec2) script!
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