Instructions to use rayraycano/finetune-demo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rayraycano/finetune-demo-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rayraycano/finetune-demo-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """pytest tests for axolotl CLI preprocess command.""" | |
| import shutil | |
| from pathlib import Path | |
| from unittest.mock import patch | |
| import pytest | |
| from axolotl.cli.main import cli | |
| def cleanup_last_run_prepared(): | |
| yield | |
| if Path("last_run_prepared").exists(): | |
| shutil.rmtree("last_run_prepared") | |
| def test_preprocess_config_not_found(cli_runner): | |
| """Test preprocess fails when config not found""" | |
| result = cli_runner.invoke(cli, ["preprocess", "nonexistent.yml"]) | |
| assert result.exit_code != 0 | |
| def test_preprocess_basic(cli_runner, config_path): | |
| """Test basic preprocessing with minimal config""" | |
| with patch("axolotl.cli.preprocess.do_cli") as mock_do_cli: | |
| result = cli_runner.invoke(cli, ["preprocess", str(config_path)]) | |
| assert result.exit_code == 0 | |
| mock_do_cli.assert_called_once() | |
| assert mock_do_cli.call_args.kwargs["config"] == str(config_path) | |
| assert mock_do_cli.call_args.kwargs["download"] is True | |
| def test_preprocess_without_download(cli_runner, config_path): | |
| """Test preprocessing without model download""" | |
| with patch("axolotl.cli.preprocess.do_cli") as mock_do_cli: | |
| result = cli_runner.invoke( | |
| cli, ["preprocess", str(config_path), "--no-download"] | |
| ) | |
| assert result.exit_code == 0 | |
| mock_do_cli.assert_called_once() | |
| assert mock_do_cli.call_args.kwargs["config"] == str(config_path) | |
| assert mock_do_cli.call_args.kwargs["download"] is False | |
| def test_preprocess_custom_path(cli_runner, tmp_path, valid_test_config): | |
| """Test preprocessing with custom dataset path""" | |
| config_path = tmp_path / "config.yml" | |
| custom_path = tmp_path / "custom_prepared" | |
| config_path.write_text(valid_test_config) | |
| with patch("axolotl.cli.preprocess.do_cli") as mock_do_cli: | |
| result = cli_runner.invoke( | |
| cli, | |
| [ | |
| "preprocess", | |
| str(config_path), | |
| "--dataset-prepared-path", | |
| str(custom_path.absolute()), | |
| ], | |
| ) | |
| assert result.exit_code == 0 | |
| mock_do_cli.assert_called_once() | |
| assert mock_do_cli.call_args.kwargs["config"] == str(config_path) | |
| assert mock_do_cli.call_args.kwargs["dataset_prepared_path"] == str( | |
| custom_path.absolute() | |
| ) | |