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  ## Model description
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  **masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0** is a **Named Entity Recognition (NER) ** model for 21 African languages. Specifically, this model is a *Davlan/afro-xlmr-large* model that was fine-tuned on an aggregation of African language datasets obtained from two versions of MasakhaNER dataset i.e. [MasakhaNER 1.0](https://huggingface.co/datasets/masakhaner) and [MasakhaNER 2.0](https://huggingface.co/datasets/masakhane/masakhaner2). The languages covered are:
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- Amharic (Amharic)
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- Bambara (bam)
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- Ghomala (bbj)
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- Ewe (ewe)
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- Fon (fon)
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- Hausa (hau)
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- Igbo (ibo)
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- Kinyarwanda (kin)
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- Luganda (lug)
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- Dholuo (luo)
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- Mossi (mos)
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- Chichewa (nya)
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- Nigerian Pidgin
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- chShona (sna)
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- Kiswahili (swą)
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- Setswana (tsn)
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- Twi (twi)
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- Wolof (wol)
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- isiXhosa (xho)
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- Yorùbá (yor)
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- isiZulu (zul)
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  It has been trained to recognize four types of entities: dates & times (DATE), location (LOC), organization (ORG), and person (PER).
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  ## Model description
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  **masakhane/afroxlmr-large-ner-masakhaner-1.0_2.0** is a **Named Entity Recognition (NER) ** model for 21 African languages. Specifically, this model is a *Davlan/afro-xlmr-large* model that was fine-tuned on an aggregation of African language datasets obtained from two versions of MasakhaNER dataset i.e. [MasakhaNER 1.0](https://huggingface.co/datasets/masakhaner) and [MasakhaNER 2.0](https://huggingface.co/datasets/masakhane/masakhaner2). The languages covered are:
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+ - Amharic (Amharic)
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+ - Bambara (bam)
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+ - Ghomala (bbj)
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+ - Ewe (ewe)
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+ - Fon (fon)
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+ - Hausa (hau)
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+ - Igbo (ibo)
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+ - Kinyarwanda (kin)
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+ - Luganda (lug)
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+ - Dholuo (luo)
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+ -Mossi (mos)
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+ - Chichewa (nya)
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+ - Nigerian Pidgin
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+ - chShona (sna)
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+ - Kiswahili (swą)
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+ - Setswana (tsn)
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+ - Twi (twi)
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+ - Wolof (wol)
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+ - isiXhosa (xho)
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+ - Yorùbá (yor)
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+ - isiZulu (zul)
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  It has been trained to recognize four types of entities: dates & times (DATE), location (LOC), organization (ORG), and person (PER).
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