update paraformer online recipe

egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py

@@ -5,7 +5,7 @@ inference_pipeline = pipeline(
     task=Tasks.auto_speech_recognition,
     model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
     model_revision='v1.0.6',
-    update_model='v1.0.6',
+    update_model=False,
     mode="paraformer_fake_streaming"
 )
 audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'

egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo_online.py

@@ -14,8 +14,8 @@ os.environ["MODELSCOPE_CACHE"] = "./"
 inference_pipeline = pipeline(
     task=Tasks.auto_speech_recognition,
     model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
-    model_revision='v1.0.4',
-    update_model='v1.0.4',
+    model_revision='v1.0.6',
+    update_model=False,
     mode="paraformer_streaming"
 )
 

egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/finetune.py

@@ -15,6 +15,7 @@ def modelscope_finetune(params):
     kwargs = dict(
         model=params.model,
         model_revision='v1.0.6',
+        update_model=False,
         data_dir=ds_dict,
         dataset_type=params.dataset_type,
         work_dir=params.output_dir,

egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/infer.py

@@ -12,6 +12,7 @@ def modelscope_infer(args):
         output_dir=args.output_dir,
         batch_size=args.batch_size,
         model_revision='v1.0.6',
+        update_model=False,
         mode="paraformer_fake_streaming",
         param_dict={"decoding_model": args.decoding_mode, "hotword": args.hotword_txt}
     )

egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py

@@ -5,7 +5,7 @@ inference_pipeline = pipeline(
     task=Tasks.auto_speech_recognition,
     model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
     model_revision='v1.0.6',
-    update_model='v1.0.6',
+    update_model=False,
     mode="paraformer_fake_streaming"
 )
 audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'

egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo_online.py

@@ -14,8 +14,8 @@ os.environ["MODELSCOPE_CACHE"] = "./"
 inference_pipeline = pipeline(
     task=Tasks.auto_speech_recognition,
     model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
-    model_revision='v1.0.4',
-    update_model='v1.0.4',
+    model_revision='v1.0.6',
+    update_model=False,
     mode="paraformer_streaming"
 )
 

egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/finetune.py

@@ -15,6 +15,7 @@ def modelscope_finetune(params):
     kwargs = dict(
         model=params.model,
         model_revision='v1.0.6',
+        update_model=False,
         data_dir=ds_dict,
         dataset_type=params.dataset_type,
         work_dir=params.output_dir,

egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/infer.py

@@ -12,6 +12,7 @@ def modelscope_infer(args):
         output_dir=args.output_dir,
         batch_size=args.batch_size,
         model_revision='v1.0.6',
+        update_model=False,
         mode="paraformer_fake_streaming",
         param_dict={"decoding_model": args.decoding_mode, "hotword": args.hotword_txt}
     )