Describes how to combine the Python SDK and HuggingFace Transformer models to improve similarity search.
You can improve similarity search for your data rows by using the Labelbox Python SDK and Hugging Face Transformer models to custom embeddings.
This lets you use off-the-shelf models to create search terms that lets you compare custome embedding and model performance.
A Python notebook demonstrates each step of the process; you can run it directly through Google CoLab or download it from Github.