funasr1.0

examples/industrial_data_pretraining/paraformer-long/infer.sh

@@ -22,5 +22,6 @@ python funasr/bin/inference.py \
 +device="cpu" \
 +batch_size_s=300 \
 +batch_size_threshold_s=60 \
-+debug="true"
++debug="true" \
++"hotword='达摩院 魔搭'"
 

examples/industrial_data_pretraining/paraformer/demo.py

@@ -5,17 +5,17 @@
 
 from funasr import AutoModel
 
-model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
+model = AutoModel(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
 
-res = model(input="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
+res = model(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
 print(res)
 
 
 from funasr import AutoFrontend
 
-frontend = AutoFrontend(model="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
+frontend = AutoFrontend(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
 
-fbanks = frontend(input="/Users/zhifu/funasr_github/test_local/wav.scp", batch_size=2)
+fbanks = frontend(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav", batch_size=2)
 
 for batch_idx, fbank_dict in enumerate(fbanks):
 	res = model(**fbank_dict)

examples/industrial_data_pretraining/paraformer/finetune.sh

@@ -1,12 +1,14 @@
 
-cmd="funasr/bin/train.py"
+# download model
+local_path_root=../modelscope_models
+mkdir -p ${local_path_root}
+local_path=${local_path_root}/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
+git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git ${local_path}
 
-python $cmd \
-+model="/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \
-+token_list="/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
-+train_data_set_list="/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl" \
-+output_dir="/Users/zhifu/Downloads/ckpt/funasr2/exp2" \
-+device="cpu"
 
-#--config-path "/Users/zhifu/funasr_github/examples/industrial_data_pretraining/paraformer-large/conf" \
-#--config-name "finetune.yaml" \
+python funasr/bin/train.py \
++model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \
++token_list="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
++train_data_set_list="data/list/audio_datasets.jsonl" \
++output_dir="outputs/debug/ckpt/funasr2/exp2" \
++device="cpu"

examples/industrial_data_pretraining/paraformer/infer.sh

@@ -1,9 +1,9 @@
 
 # download model
-local_path_root=./modelscope_models
+local_path_root=../modelscope_models
 mkdir -p ${local_path_root}
 local_path=${local_path_root}/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
-git clone https://www.modelscope.cn/damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404.git ${local_path}
+git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git ${local_path}
 
 
 python funasr/bin/inference.py \

funasr/version.txt

@@ -1 +1 @@
-0.8.7
+1.0.0