Delete models/xtts_v2/README.md

models/xtts_v2/README.md

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----
-license: other
-license_name: coqui-public-model-license
-license_link: https://coqui.ai/cpml
-library_name: coqui
-pipeline_tag: text-to-speech
-widget:
-  - text: "Once when I was six years old I saw a magnificent picture"
----
-
-# ⓍTTS
-ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours.
-
-This is the same or similar model to what powers [Coqui Studio](https://coqui.ai/) and [Coqui API](https://docs.coqui.ai/docs).
-
-### Features
-- Supports 17 languages. 
-- Voice cloning with just a 6-second audio clip.
-- Emotion and style transfer by cloning. 
-- Cross-language voice cloning.
-- Multi-lingual speech generation.
-- 24khz sampling rate.
-
-### Updates over XTTS-v1
-- 2 new languages; Hungarian and Korean
-- Architectural improvements for speaker conditioning.
-- Enables the use of multiple speaker references and interpolation between speakers.
-- Stability improvements.
-- Better prosody and audio quality across the board.
-
-### Languages
-XTTS-v2 supports 17 languages: **English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt),
-Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko)
-Hindi (hi)**.
-
-Stay tuned as we continue to add support for more languages. If you have any language requests, feel free to reach out!
-
-### Code
-The [code-base](https://github.com/coqui-ai/TTS) supports inference and [fine-tuning](https://tts.readthedocs.io/en/latest/models/xtts.html#training).
-
-### Demo Spaces
-- [XTTS Space](https://huggingface.co/spaces/coqui/xtts)  :  You can see how model performs on supported languages, and try with your own reference or microphone input
-- [XTTS Voice Chat with Mistral or Zephyr](https://huggingface.co/spaces/coqui/voice-chat-with-mistral) : You can experience streaming voice chat with Mistral 7B Instruct or Zephyr 7B Beta
-
-|                                 |                                         |
-| ------------------------------- | --------------------------------------- |
-| 🐸💬 **CoquiTTS**               | [coqui/TTS on Github](https://github.com/coqui-ai/TTS)|
-| 💼 **Documentation**            | [ReadTheDocs](https://tts.readthedocs.io/en/latest/)
-| 👩‍💻 **Questions**                | [GitHub Discussions](https://github.com/coqui-ai/TTS/discussions) |
-| 🗯 **Community**         | [Discord](https://discord.gg/5eXr5seRrv)  |
-
-
-### License
-This model is licensed under [Coqui Public Model License](https://coqui.ai/cpml). There's a lot that goes into a license for generative models, and you can read more of [the origin story of CPML here](https://coqui.ai/blog/tts/cpml).
-
-### Contact
-Come and join in our 🐸Community. We're active on [Discord](https://discord.gg/fBC58unbKE) and [Twitter](https://twitter.com/coqui_ai).
-You can also mail us at info@coqui.ai.
-
-Using 🐸TTS API:
-
-```python
-from TTS.api import TTS
-tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=True)
-
-# generate speech by cloning a voice using default settings
-tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
-                file_path="output.wav",
-                speaker_wav="/path/to/target/speaker.wav",
-                language="en")
-
-```
-
-Using 🐸TTS Command line:
-
-```console
- tts --model_name tts_models/multilingual/multi-dataset/xtts_v2 \
-     --text "Bugün okula gitmek istemiyorum." \
-     --speaker_wav /path/to/target/speaker.wav \
-     --language_idx tr \
-     --use_cuda true
-```
-
-Using the model directly:
-
-```python
-from TTS.tts.configs.xtts_config import XttsConfig
-from TTS.tts.models.xtts import Xtts
-
-config = XttsConfig()
-config.load_json("/path/to/xtts/config.json")
-model = Xtts.init_from_config(config)
-model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True)
-model.cuda()
-
-outputs = model.synthesize(
-    "It took me quite a long time to develop a voice and now that I have it I am not going to be silent.",
-    config,
-    speaker_wav="/data/TTS-public/_refclips/3.wav",
-    gpt_cond_len=3,
-    language="en",
-)
-```