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added pre-trained model
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@ -28,12 +28,14 @@ For more information, refer to the paper "LibriTTS: A Corpus Derived from LibriS
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This recipe provides a VITS model trained on the LibriTTS dataset.
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Pretrained model can be found [here](https://huggingface.co/zrjin/icefall-tts-libritts-vits-2024-10-30).
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The training command is given below:
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```
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export CUDA_VISIBLE_DEVICES=0,1,2,3
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export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
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./vits/train.py \
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--world-size 4 \
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--num-epochs 1000 \
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--num-epochs 400 \
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--start-epoch 1 \
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--use-fp16 1 \
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--exp-dir vits/exp \
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@ -44,6 +46,6 @@ To inference, use:
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```
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./vits/infer.py \
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--exp-dir vits/exp \
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--epoch 1000 \
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--epoch 400 \
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--tokens data/tokens.txt
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```
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