Update README.md

README.md

@@ -4,13 +4,17 @@ license: apache-2.0
 
 ## Install the `funasr_onnx`
 
-install from pip
 ```shell
 pip install -U funasr_onnx
 # For the users in China, you could install with the command:
 # pip install -U funasr_onnx -i https://mirror.sjtu.edu.cn/pypi/web/simple
 ```
 
+## Download the model
+
+```shell
+git clone https://huggingface.co/funasr/paraformer-large
+```
 
 ## Inference with runtime
 
@@ -27,9 +31,16 @@ pip install -U funasr_onnx
  result = model(wav_path)
  print(result)
  ```
-- Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`
-- Input: wav formt file, support formats: `str, np.ndarray, List[str]`
-- Output: `List[str]`: recognition result
+- `model_dir`: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`
+- `batch_size`: `1` (Default), the batch size duration inference
+- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
+- `quantize`: `False` (Default), load the model of `model.onnx` in `model_dir`. If set `True`, load the model of `model_quant.onnx` in `model_dir`
+- `intra_op_num_threads`: `4` (Default), sets the number of threads used for intraop parallelism on CPU
+
+Input: wav formt file, support formats: `str, np.ndarray, List[str]`
+
+Output: `List[str]`: recognition result
+