Intended Use Cases
text-generation
Restricted — 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.
1.2B-parameter Afrocentric sequence-to-sequence pretrained LM covering 517 African languages. Afar (aar) included. Trained on 42G corpus from 50 of 54 Africa…
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
1.2B African language model from UBC NLP supporting Igbo
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
text-generation model · T5ForConditionalGeneration · UBC-NLP
automatic-speech-recognition model · espnet · espnet
HubertModel · coml
coml