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---
pipeline_tag: sentence-similarity
datasets:
- sentence-transformers/msmarco-hard-negatives
- unicamp-dl/mmarco
tags:
- colbert
- passage-retrieval
library_name: colbert-ai
base_model:
- antoinelouis/colbert-xm
- facebook/xmod-base
license: mit
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- ga
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mk
- ml
- mn
- mr
- ms
- my
- ne
- nl
- 'no'
- or
- pa
- pl
- ps
- pt
- ro
- ru
- sa
- si
- sk
- sl
- so
- sq
- sr
- sv
- sw
- ta
- te
- th
- tl
- tr
- uk
- ur
- uz
- vi
- zh
---
[XMOD-base](https://huggingface.co/facebook/xmod-base) fine-tuned using [ColBERT-XM](https://huggingface.co/antoinelouis/colbert-xm) methodology on Dutch Translated to Afrikaans Queries and Dutch Documents from mMARCO/v2.
Essentially, it's ColBERT-XM but fine-tuned on Afrikaans-Dutch mMARCOv2 in contrast to MSMARCO of the original ColBERT-XM model.
This model was fine-tuned for the "Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer" ECIR2025 paper. The source code for the paper can be found [here](https://github.com/andreaschari/linguistic-transfer)
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