Sbert Python Packages

mteb

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

gritlm

Generative Representational Instruction Tuning

sentence-similarity

Package to calculate the similarity score between two sentences

targeted-sum

TextReducer - A Tool for Summarization and Information Extraction

picture-text

Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)

annaparavai

AI-generated vs Human-written text detector for Tamil and Malayalam languages

useb

Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper.