[Model] LoRA with lm_head and embed_tokens fully trained #24950

	name: ruff

	on:
	# Trigger the workflow on push or pull request,
	# but only for the main branch
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	jobs:
	ruff:
	runs-on: ubuntu-latest
	strategy:
	matrix:
	python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
	steps:
	- uses: actions/checkout@eef61447b9ff4aafe5dcd4e0bbf5d482be7e7871 # v4.2.1
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements-lint.txt
	- name: Analysing the code with ruff
	run: \|
	echo "::add-matcher::.github/workflows/matchers/ruff.json"
	ruff check --output-format github .
	- name: Spelling check with codespell
	run: \|
	codespell --toml pyproject.toml
	- name: Run isort
	run: \|
	isort . --check-only

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