MLflow Sentence Transformers Flavor - Tutorials and Guides

Below, you will find a number of guides that focus on different ways that you can leverage the power of the sentence-transformers library, leveraging MLflow's APIs for tracking and inference capabilities.

Introductory Tutorial

Sentence Transformers Quickstart

Learn the very basics of using the Sentence Transformers package with MLflow to generate sentence embeddings from a logged model in both native and generic Python function formats.

Advanced Tutorials

Semantic Similarity Tutorial

Learn how to leverage sentence embeddings to determine similarity scores between two sentences.

Semantic Search Tutorial

Learn how to use sentence embeddings to find the most similar embedding within a corpus of text.

Paraphrase Mining Tutorial

Explore the power of paraphrase mining to identify semantically similar sentences in a corpus of text.