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# coding=utf-8 | |
# Copyright 2023 HuggingFace Inc. | |
# | |
# 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 transformers import load_tool | |
from .test_tools_common import ToolTesterMixin | |
TEXT = """ | |
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning. | |
In March 2021, Hugging Face raised $40 million in a Series B funding round.[3] | |
On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5] | |
""" | |
class TextQuestionAnsweringToolTester(unittest.TestCase, ToolTesterMixin): | |
def setUp(self): | |
self.tool = load_tool("text-question-answering") | |
self.tool.setup() | |
self.remote_tool = load_tool("text-question-answering", remote=True) | |
def test_exact_match_arg(self): | |
result = self.tool(TEXT, "What did Hugging Face do in April 2021?") | |
self.assertEqual(result, "launched the BigScience Research Workshop") | |
def test_exact_match_arg_remote(self): | |
result = self.remote_tool(TEXT, "What did Hugging Face do in April 2021?") | |
self.assertEqual(result, "launched the BigScience Research Workshop") | |
def test_exact_match_kwarg(self): | |
result = self.tool(text=TEXT, question="What did Hugging Face do in April 2021?") | |
self.assertEqual(result, "launched the BigScience Research Workshop") | |
def test_exact_match_kwarg_remote(self): | |
result = self.remote_tool(text=TEXT, question="What did Hugging Face do in April 2021?") | |
self.assertEqual(result, "launched the BigScience Research Workshop") | |