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modelscope/tests/pipelines/test_text_generation.py

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# Copyright (c) Alibaba, Inc. and its affiliates.
import unittest
from maas_hub.snapshot_download import snapshot_download
from modelscope.models import Model
from modelscope.models.nlp import PalmForTextGenerationModel
from modelscope.pipelines import TextGenerationPipeline, pipeline
from modelscope.preprocessors import TextGenerationPreprocessor
from modelscope.utils.constant import Tasks
class TextGenerationTest(unittest.TestCase):
model_id = 'damo/nlp_palm_text-generation_chinese'
input1 = "今日天气类型=''&温度变化趋势='大幅上升'&最低气温='28℃'&最高气温='31℃'&体感='湿热'"
input2 = "今日天气类型='多云'&体感='舒适'&最低气温='26℃'&最高气温='30℃'"
@unittest.skip('skip temporarily to save test time')
def test_run(self):
cache_path = snapshot_download(self.model_id)
preprocessor = TextGenerationPreprocessor(
cache_path, first_sequence='sentence', second_sequence=None)
model = PalmForTextGenerationModel(
cache_path, tokenizer=preprocessor.tokenizer)
pipeline1 = TextGenerationPipeline(model, preprocessor)
pipeline2 = pipeline(
Tasks.text_generation, model=model, preprocessor=preprocessor)
print(f'input: {self.input1}\npipeline1: {pipeline1(self.input1)}')
print()
print(f'input: {self.input2}\npipeline2: {pipeline2(self.input2)}')
def test_run_with_model_from_modelhub(self):
model = Model.from_pretrained(self.model_id)
preprocessor = TextGenerationPreprocessor(
model.model_dir, first_sequence='sentence', second_sequence=None)
pipeline_ins = pipeline(
task=Tasks.text_generation, model=model, preprocessor=preprocessor)
print(pipeline_ins(self.input1))
def test_run_with_model_name(self):
pipeline_ins = pipeline(
task=Tasks.text_generation, model=self.model_id)
print(pipeline_ins(self.input2))
def test_run_with_default_model(self):
pipeline_ins = pipeline(task=Tasks.text_generation)
print(pipeline_ins(self.input2))
if __name__ == '__main__':
unittest.main()