|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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") |
|
|