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added pre-trained model

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JinZr 2024-10-30 22:18:36 +08:00
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@ -28,12 +28,14 @@ For more information, refer to the paper "LibriTTS: A Corpus Derived from LibriS
This recipe provides a VITS model trained on the LibriTTS dataset. This recipe provides a VITS model trained on the LibriTTS dataset.
Pretrained model can be found [here](https://huggingface.co/zrjin/icefall-tts-libritts-vits-2024-10-30).
The training command is given below: The training command is given below:
``` ```
export CUDA_VISIBLE_DEVICES=0,1,2,3 export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
./vits/train.py \ ./vits/train.py \
--world-size 4 \ --world-size 4 \
--num-epochs 1000 \ --num-epochs 400 \
--start-epoch 1 \ --start-epoch 1 \
--use-fp16 1 \ --use-fp16 1 \
--exp-dir vits/exp \ --exp-dir vits/exp \
@ -44,6 +46,6 @@ To inference, use:
``` ```
./vits/infer.py \ ./vits/infer.py \
--exp-dir vits/exp \ --exp-dir vits/exp \
--epoch 1000 \ --epoch 400 \
--tokens data/tokens.txt --tokens data/tokens.txt
``` ```