weaviate / reranker-transformers

Cross ranker transformers module

The inference container for Weaviate's reranker-transformers module

📚 Documentation

Documentation for this module can be found here.

📦 Requirements

1. Create a new virtual environment

python3 -m venv .venv
source .venv/bin/activate

2. Install all module and test dependencies

pip3 install -r requirements.txt
pip3 install -r requirements-test.txt

3. Download the model locally

MODEL_NAME=cross-encoder/ms-marco-MiniLM-L-6-v2 ./download.py

5. Run the inference server

uvicorn app:app --host 0.0.0.0 --port 8000

💡 Testing

For sanity checks that to check that all works properly you can run our smoke tests against your server

python3 smoke_tests.py

🐳 Docker support

In order to build locally a docker image one can run this command in project's root folder

LOCAL_REPO="local-reranker" MODEL_NAME="cross-encoder/ms-marco-MiniLM-L-6-v2" ./cicd/build.sh

In order to test the built docker image run this command in project's root folder

LOCAL_REPO="local-reranker" ./cicd/test.sh

🔗 Useful Resources

• HuggingFace cross-encoder/ms-marco-MiniLM-L-6-v2 model description