Davlan/bert-base-multilingual-cased-ner-hrl cover image

Davlan/bert-base-multilingual-cased-ner-hrl

A named entity recognition model for 10 high-resource languages, trained on a fine-tuned mBERT base model. The model recognizes three types of entities: location, organization, and person. The training data consists of entity-annotated news articles from various datasets for each language, and the model distinguishes between the beginning and continuation of an entity.

A named entity recognition model for 10 high-resource languages, trained on a fine-tuned mBERT base model. The model recognizes three types of entities: location, organization, and person. The training data consists of entity-annotated news articles from various datasets for each language, and the model distinguishes between the beginning and continuation of an entity.

Public
$0.0005 / sec
demoapi

6f69c39cadcdba0ab1401fb1f164964e7557e471

2023-03-03T03:45:05+00:00