Update README.md

egs/vctk/TTS/README.md

@@ -12,4 +12,26 @@ This recipe provides a VITS model trained on the VCTK dataset.
 
 Pretrained model can be found [here](https://huggingface.co/zrjin/icefall-tts-vctk-vits-2023-12-05), note that this model was pretrained on the Edinburgh DataShare VCTK dataset.
 
-For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/vctk/vits.html).
+For tutorial and more details, please refer to the [VITS documentation](https://k2-fsa.github.io/icefall/recipes/TTS/vctk/vits.html).
+
+The training command is given below:
+```
+export CUDA_VISIBLE_DEVICES="0,1,2,3"
+./vits/train.py \
+  --world-size 4 \
+  --num-epochs 1000 \
+  --start-epoch 1 \
+  --use-fp16 1 \
+  --exp-dir vits/exp \
+  --tokens data/tokens.txt
+  --max-duration 350
+```
+
+To inference, use:
+```
+./vits/infer.py \
+  --epoch 1000 \
+  --exp-dir vits/exp \
+  --tokens data/tokens.txt \
+  --max-duration 500
+```