Download server/README.md from trandackhoa/TTS_stream: direct link, hf CLI and curl.
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https://huggingface.co/trandackhoa/TTS_stream/resolve/main/server/README.md
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hf download hf://trandackhoa/TTS_stream/server/README.md
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curl -L -o README.md https://huggingface.co/trandackhoa/TTS_stream/resolve/main/server/README.md
:frog: TTS demo server
Before you use the server, make sure you
install) :frog: TTS
properly and install the additional dependencies with pip install coqui-tts[server]. Then, you can follow the steps below.
Note: If you install :frog:TTS using pip, you can also use the tts-server end point on the terminal.
Examples runs:
List officially released models.
python TTS/server/server.py --list_models
Run the server with the official models.
python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan
Run the server with the official models on a GPU.
CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan --use_cuda
Run the server with a custom models.
python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth --vocoder_config /path/to/vocoder/config.json