init

README.md

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+---
+license: other
+tags:
+- text-to-speech
+- LLMs
+- zero-shot text-to-speech
+inference: false
+datasets: 
+- LJSpeech
+extra_gated_prompt: |-
+  One more step before getting this model.
+  This model is open access and available to all, with a license further specifying rights and usage.
+
+  Any organization or individual is prohibited from using any technology mentioned in this paper to generate someone's speech without his/her consent, including but not limited to government leaders, political figures, and celebrities. If you do not comply with this item, you could be in violation of copyright laws.
+
+  
+  By clicking on "Access repository" below, you accept that your *contact information* (email address and username) can be shared with the model authors as well.
+    
+extra_gated_fields:
+ I have read the License and agree with its terms: checkbox
+---
+
+# MVoice Model Card
+
+
+## Model Details
+- **Model type:** Voice LLM for Zero-shot text-to-speech 
+- **Language(s):** English, Mandarin
+- **Resources for more information:** [MVoice GitHub Repository](https://github.com/Rongjiehuang/MVoice), [MVoice Paper]().
+- **Cite as:**
+
+```bib
+@article{huang2023make,
+  title={Make-A-Voice: Unified Voice Synthesis With Discrete Representation},
+  author={Huang, Rongjie and Zhang, Chunlei and Wang, Yongqi and Yang, Dongchao and Liu, Luping and Ye, Zhenhui and Jiang, Ziyue and Weng, Chao and Zhao, Zhou and Yu, Dong},
+  journal={arXiv preprint arXiv:2305.19269},
+  year={2023}
+}
+```
+- 
+
+
+*This model card was written based on the [DALL-E Mini model card](https://huggingface.co/dalle-mini/dalle-mini).*