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# The training code of Encodec
### Note that, this part of code is based on Facebook's Encodec. We just provide the training process. The license is the same as Encodec.
### For Training
set the right path to statr/start.sh
run: `bash start.sh`
### For Finetune
If you want to finetune the model, you can use following instruct:
`
python3 main3_ddp.py --BATCH_SIZE 16 --N_EPOCHS 300 \
--save_dir path_to_save_log \
--PATH path_to_save_model \
--train_data_path path_to_training_data \
--valid_data_path path_to_val_data \
--resume --resume_path the_model_path
`
### For Inference
if you want to use our checkpoint. Run the following <br>
```bash
mkdir checkpoint
cd checkpoint
wget https://huggingface.co/Dongchao/AcademiCodec/resolve/main/encodec_24khz_240d.pth
bash test.sh # set the root in test.sh, before runing it.
``` |