# English Named Entity Recognition
Bert Base NER Onnx
MIT
This is the ONNX format version of the dslim/bert-base-NER model for named entity recognition tasks, capable of identifying four entity types: location, organization, person, and miscellaneous.
Sequence Labeling
Transformers Supports Multiple Languages

B
protectai
19.94k
4
Taughtnet Disease Chem Gene
Openrail
TaughtNet is a multi-task learning model for biomedical named entity recognition, learning from single-task teachers, suitable for English text entity recognition tasks.
Sequence Labeling
Transformers English

T
marcopost-it
17
2
Bert Finetuned Protagonist English
BERT model fine-tuned based on roberta-large-ner-english for protagonist identification tasks
Sequence Labeling
Transformers

B
airi
15
0
Roberta Large Ner English
An English named entity recognition model fine-tuned on the conll2003 dataset based on roberta-large, specifically optimized for recognizing entities with non-initial capital letters
Sequence Labeling
Transformers English

R
ydshieh
36
2
Flair Ner
The Flair NER model is a sequence labeling model trained on the CoNLL-2003 dataset for named entity recognition tasks.
Sequence Labeling English
F
julien-c
1,412
0
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