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---
license: cc-by-4.0
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
- ne
- nl
- no
- om
- or
- pa
- pl
- ps
- pt
- ro
- ru
- sa
- sd
- si
- sk
- sl
- so
- sq
- sr
- su
- sv
- sw
- ta
- te
- th
- tl
- tr
- ug
- uk
- ur
- uz
- vi
- xh
- yi
- zh
- an
- ast
- ba
- bar
- inc
- ceb
- ce
- cv
- ht
- io
- roa
- nds
- lm
- min
- new
- nb
- nn
- oc
- pms
- sco
- scn
- aze
- tg
- tt
- ud
- vo
- war
- fry
- pnb
- yo
tags:
- multilingual
- bert
- roberta
- xlmr
- bm
---
## Model type: Transformer-based masked language model
## Training data: No additional pretraining, merges two existing models
## Languages: 100+ languages
# Architecture:
- Base architectures:
- XLM-RoBERTa base (multilingual)
- BERT base cased (multilingual)
## Custom merging technique to combine weights from both base models into one unified model |