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metadata
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

Mask token: