|
from modelscope.pipelines import pipeline
|
from modelscope.utils.constant import Tasks
|
|
inference_pipeline = pipeline(
|
task=Tasks.punctuation,
|
model='damo/punc_ct-transformer_cn-en-common-vocab471067-large',
|
model_revision="v1.0.0",
|
output_dir="./tmp/"
|
)
|
|
##################text.scp###################
|
# inputs = "./egs_modelscope/punctuation/punc_ct-transformer_cn-en-common-vocab471067-large/data/punc_example.txt"
|
|
##################text#####################
|
#inputs = "我们都是木头人不会讲话不会动"
|
|
##################text file url#######################
|
inputs = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_text/punc_example.txt"
|
|
rec_result = inference_pipeline(text_in=inputs)
|
print(rec_result)
|