akhooli/arabic-colbertv2-711k-norm

This is a ColBERT V2 model trained on Arabic mMARCO dataset sample after removing queries with Latin words (711K queries). It is not fully trained (22000 steps only), but is good for many tasks especially ranking and information retrieval (semantic search). The dataset was normalized before training, so please normalize your query and docs before using it.

from unicodedata import normalize
query_n = normalize('NFKC', query)