install funasr from pypi

decode.py

@@ -2,7 +2,6 @@ import os
 
 import hydra
 import torch
-from funasr import AutoModel
 from omegaconf import DictConfig, ListConfig, OmegaConf
 
 
@@ -28,6 +27,9 @@ def main_hydra(cfg: DictConfig):
         if torch.backends.mps.is_available()
         else "cpu"
     )
+
+    from funasr import AutoModel
+
     model = AutoModel(
         model=model_dir,
         trust_remote_code=True,

demo1.py

@@ -1,5 +1,4 @@
 import torch
-from funasr import AutoModel
 
 
 def main():
@@ -11,6 +10,9 @@ def main():
         if torch.backends.mps.is_available()
         else "cpu"
     )
+
+    from funasr import AutoModel
+
     model = AutoModel(
         model=model_dir,
         trust_remote_code=True,

docs/finetune.md

@@ -5,7 +5,7 @@
 ## Requirements
 
 ```
-pip install git+https://github.com/modelscope/FunASR
+pip install funasr>=1.3.0
 ```
 
 ## Data Prepare

docs/fintune_zh.md

@@ -5,7 +5,7 @@
 ## 安装训练环境
 
 ```
-pip install git+https://github.com/modelscope/FunASR
+pip install funasr>=1.3.0
 ```
 
 ## 数据准备