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https://github.com/modelscope/FunASR
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funasr1.0
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f1d86e9dd5
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@ -22,5 +22,6 @@ python funasr/bin/inference.py \
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+device="cpu" \
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+batch_size_s=300 \
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+batch_size_threshold_s=60 \
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+debug="true"
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+debug="true" \
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+"hotword='达摩院 魔搭'"
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@ -5,17 +5,17 @@
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from funasr import AutoModel
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model = AutoModel(model="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
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model = AutoModel(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
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res = model(input="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
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res = model(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav")
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print(res)
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from funasr import AutoFrontend
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frontend = AutoFrontend(model="/Users/zhifu/Downloads/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
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frontend = AutoFrontend(model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch")
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fbanks = frontend(input="/Users/zhifu/funasr_github/test_local/wav.scp", batch_size=2)
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fbanks = frontend(input="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav", batch_size=2)
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for batch_idx, fbank_dict in enumerate(fbanks):
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res = model(**fbank_dict)
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@ -1,12 +1,14 @@
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cmd="funasr/bin/train.py"
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# download model
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local_path_root=../modelscope_models
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mkdir -p ${local_path_root}
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local_path=${local_path_root}/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
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git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git ${local_path}
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python $cmd \
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+model="/Users/zhifu/modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \
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+token_list="/Users/zhifu/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
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+train_data_set_list="/Users/zhifu/funasr_github/test_local/aishell2_dev_ios/asr_task_debug_len.jsonl" \
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+output_dir="/Users/zhifu/Downloads/ckpt/funasr2/exp2" \
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+device="cpu"
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#--config-path "/Users/zhifu/funasr_github/examples/industrial_data_pretraining/paraformer-large/conf" \
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#--config-name "finetune.yaml" \
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python funasr/bin/train.py \
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+model="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \
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+token_list="../modelscope_models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.txt" \
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+train_data_set_list="data/list/audio_datasets.jsonl" \
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+output_dir="outputs/debug/ckpt/funasr2/exp2" \
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+device="cpu"
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@ -1,9 +1,9 @@
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# download model
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local_path_root=./modelscope_models
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local_path_root=../modelscope_models
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mkdir -p ${local_path_root}
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local_path=${local_path_root}/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
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git clone https://www.modelscope.cn/damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404.git ${local_path}
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git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git ${local_path}
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python funasr/bin/inference.py \
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@ -1 +1 @@
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0.8.7
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1.0.0
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