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@ -211,7 +212,7 @@ Tech stack is vast to store vector embeddings. To determine the right tool, you
## Contribution
Pull requests are welcome. You should run the unit tests locally by running [`test/unit_tests.py`](https://github.com/serengil/deepface/blob/master/tests/unit_tests.py). Please share the unit test result logs in the PR. Deepface is currently compatible with TF 1 and 2 versions. Change requests should satisfy those requirements both.
Pull requests are welcome! You should run the unit tests locally by running [`test/unit_tests.py`](https://github.com/serengil/deepface/blob/master/tests/unit_tests.py). Once a PR sent, GitHub test workflow will be run automatically and unit test results will be available in GitHub actions before approval.
## Support