Add Transformer-based NER classifier using Hugging Face models #39

	name: Run Tests

	on:
	push:
	branches: [ main ]
	pull_request:
	branches: [ main ]

	jobs:
	build:

	runs-on: ubuntu-latest
	strategy:
	matrix:
	python-version: ['3.8', '3.9', '3.10', '3.11']

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	pip install --upgrade -e .[contrib,test]
	pip install flake8
	- name: Lint with flake8
	run: \|
	# stop the build if there are Python syntax errors or undefined names
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
	# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
	flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
	- name: Run tests
	run: \|
	pytest --cov=./ --cov-report=xml

	- name: Upload coverage to Codecov
	uses: codecov/codecov-action@v3
	with:
	file: ./coverage.xml
	env_vars: OS,PYTHON
	name: codecov-umbrella

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