transformers/tests/test_pipelines_text_classif...

27 lines
1.1 KiB
Python

# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from .test_pipelines_common import MonoInputPipelineCommonMixin
class TextClassificationPipelineTests(MonoInputPipelineCommonMixin, unittest.TestCase):
pipeline_task = "sentiment-analysis"
small_models = [
"sshleifer/tiny-distilbert-base-uncased-finetuned-sst-2-english"
] # Default model - Models tested without the @slow decorator
large_models = [None] # Models tested with the @slow decorator
mandatory_keys = {"label", "score"} # Keys which should be in the output