| | |
|---|
| | | ([简体中文](./quick_start_zh.md)|English) |
|---|
| | | |
|---|
| | | # Quick Start |
|---|
| | | |
|---|
| | | > **Note**: |
|---|
| | | > The modelscope pipeline supports all the models in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope) to inference and finetine. Here we take typic model as example to demonstrate the usage. |
|---|
| | | > The modelscope pipeline supports all the models in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope) to inference and finetine. Here we take typic model as example to demonstrate the usage. |
|---|
| | | |
|---|
| | | |
|---|
| | | ## Inference with pipeline |
|---|
| | |
|---|
| | | If you want finetune with multi-GPUs, you could: |
|---|
| | | ```shell |
|---|
| | | CUDA_VISIBLE_DEVICES=1,2 python -m torch.distributed.launch --nproc_per_node 2 finetune.py > log.txt 2>&1 |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | ``` |
|---|
