mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-17 00:37:43 +01:00
41 lines
1.9 KiB
Python
41 lines
1.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
|
|
import unittest
|
|
|
|
from modelscope.pipelines import pipeline
|
|
from modelscope.utils.constant import Tasks
|
|
from modelscope.utils.test_utils import test_level
|
|
|
|
|
|
class DomainClassificationTest(unittest.TestCase):
|
|
|
|
def setUp(self) -> None:
|
|
self.task = Tasks.text_classification
|
|
self.model_id = 'damo/nlp_domain_classification_chinese'
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_with_model_name_for_zh_domain(self):
|
|
inputs = '通过这种方式产生的离子吸收大地水分之后,可以通过潮解作用,将活性电解离子有效释放到周围土壤中,使接地极成为一个离子发生装置,' \
|
|
'从而改善周边土质使之达到接地要求。'
|
|
pipeline_ins = pipeline(self.task, model=self.model_id)
|
|
print(pipeline_ins(input=inputs))
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_with_model_name_for_zh_style(self):
|
|
model_id = 'damo/nlp_style_classification_chinese'
|
|
inputs = '通过这种方式产生的离子吸收大地水分之后,可以通过潮解作用,将活性电解离子有效释放到周围土壤中,使接地极成为一个离子发生装置,' \
|
|
'从而改善周边土质使之达到接地要求。'
|
|
pipeline_ins = pipeline(self.task, model=model_id)
|
|
print(pipeline_ins(input=inputs))
|
|
|
|
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
|
def test_run_with_model_name_for_en_style(self):
|
|
model_id = 'damo/nlp_style_classification_english'
|
|
inputs = 'High Power 11.1V 5200mAh Lipo Battery For RC Car Robot Airplanes ' \
|
|
'Helicopter RC Drone Parts 3s Lithium battery 11.1v Battery'
|
|
pipeline_ins = pipeline(self.task, model=model_id)
|
|
print(pipeline_ins(input=inputs))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|