Intended Use Cases
fill-mask
Open — attribution required; commercial use allowed.
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.
Afrikaans not in AfriBERTa training set; note for accuracy
fill-mask model · XLMRobertaForMaskedLM · castorini
LM/Classification model · XLMRobertaForMaskedLM · David Ifeoluwa Adelani et al. (Castorini group)
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
fill-mask model · XLMRobertaForMaskedLM · castorini
XLM-RoBERTa fine-tuned on Nigerian Pidgin (pcm) corpus. Outperforms multilingual XLM-R on NER tasks for Nigerian Pidgin.
mBERT fine-tuned on Nigerian Pidgin (pcm). Better NER performance than multilingual baseline.
Multilingual sentiment model fine-tuned on NaijaSenti for Nigerian Pidgin and 3 other Nigerian languages. SOTA on NaijaSenti benchmark at time of publication.