Update README.md

README.md

@@ -48,11 +48,11 @@ You need to use the following dependencies:
 3. Download [Fine-tuned BEATs_iter3+ (AS2M) (cpt2)](https://valle.blob.core.windows.net/share/BEATs/BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt?sv=2020-08-04&st=2023-03-01T07%3A51%3A05Z&se=2033-03-02T07%3A51%3A00Z&sr=c&sp=rl&sig=QJXmSJG9DbMKf48UDIU1MfzIro8HQOf3sqlNXiflY1I%3D) to `beats_path`.
 4. Download [vicuna 7B v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5/tree/main) to ```vicuna_path```.
 5. Download [timeaudio](https://huggingface.co/lysanderism/TimeAudio/tree/main) to ```ckpt_path```.
-6. Running with ```python3 cli_inference.py --ckpt_path xxx --whisper_path xxx --beats_path xxx --vicuna_path xxx``` to start cli inference. Please make sure your GPU has more than 40G of memory. If your GPU does not have enough memory (e.g. only 24G), you can quantize the model using the `--low_resource` parameter to reduce the memory usage.
+6. Running with ```python3 cli_inference.py --cfg-path "configs/infer_config.yaml"``` to start cli inference. Please make sure your GPU has more than 40G of memory. If your GPU does not have enough memory (e.g. only 24G), you can quantize the model using the `--low_resource` parameter to reduce the memory usage.
 
-## Launch a Demo 
+## Batch inference 
 
-Same as **How to inference in CLI: 1-5**.
+Same as **How to inference in CLI: 1-5**. torchrun --nproc_per_node=8 inference.py --cfg-path "configs/infer_config.yaml"
 
 
 ## Citation