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update uniasr infer finetune scripts

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This commit is contained in:
onlybetheone 2023-03-10 17:47:59 +08:00
parent 03d1e0ace0
commit 7303484773
4 changed files with 4 additions and 4 deletions
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2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline/finetune.py
View File

@ -30,6 +30,6 @@ if __name__ == '__main__':
params["dataset_type"] = "small"
params["max_epoch"] = 50
params["lr"] = 0.00005
params["model"] = "damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online"
params["model"] = "damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline"
params["model_revision"] = None
modelscope_finetune(params)

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline/infer.py
View File

@ -6,7 +6,7 @@ if __name__ == "__main__":
output_dir = "./results"
inference_pipline = pipeline(
task=Tasks.auto_speech_recognition,
model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online",
model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline",
output_dir=output_dir,
)
rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline/finetune.py
View File

@ -30,6 +30,6 @@ if __name__ == '__main__':
params["dataset_type"] = "small"
params["max_epoch"] = 50
params["lr"] = 0.00005
params["model"] = "damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online"
params["model"] = "damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline"
params["model_revision"] = None
modelscope_finetune(params)

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline/infer.py
View File

@ -6,7 +6,7 @@ if __name__ == "__main__":
output_dir = "./results"
inference_pipline = pipeline(
task=Tasks.auto_speech_recognition,
model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online",
model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline",
output_dir=output_dir,
)
rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})