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bert-base-uncased-swa

Token Classification Transformers PyTorch

Swahili (macrolanguage) bert NER Inference Endpoints

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arnolfokam commited on Nov 24, 2021

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 # Model description
-**bert-base-uncased-swa** is a model based on the fine-tuned multilingual BERT base uncased model. It has been trained to recognize four types of entities:
 - dates & time (DATE)
 - Location (LOC)
 - Organizations (ORG)

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 # Model description
+**bert-base-uncased-swa** is a model based on the fine-tuned BERT base uncased model. It has been trained to recognize four types of entities:
 - dates & time (DATE)
 - Location (LOC)
 - Organizations (ORG)