Intended Use Cases
Best multilingual NER across MasakhaNER 1.0 & 2.0 incl. Ghomálá'
Licensed under AFL-3.0. Review the source terms before use.
Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.
This is the same multilingual corpus, sliced for other languages the platform indexes it under.
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
Shona (sna) achieves F1=96.5 on MasakhaNER 2.0 — highest in the benchmark. Multilingual NER model covering 21 African languages.
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
token-classification model · XLMRobertaForTokenClassification · masakhane
NER model · David Adelani et al. (Masakhane)
MT model · M2M100ForConditionalGeneration · Meta AI NLLB Team
audio-classification model · AfriSpeech