# BIO Annotation
Sentencesegmenter MIMIC
MIT
This model is based on BiomedBERT and is used for sentence segmentation of MIMIC-III clinical records, predicting BIO annotations.
Sequence Labeling
Safetensors English
S
dongfangxu
14.96k
1
GNER T5 Large V2
Apache-2.0
GNER-T5-large is a generative named entity recognition model based on the Flan-T5-large architecture, focusing on improving zero-shot recognition capabilities in unseen entity domains.
Sequence Labeling
Transformers English

G
dyyyyyyyy
28
1
GNER T5 Xl
Apache-2.0
GNER-T5-xl is a generative named entity recognition model based on Flan-T5-xl, significantly enhancing zero-shot recognition capabilities through negative instance training
Sequence Labeling
Transformers English

G
dyyyyyyyy
38
1
Bert4ner Base Chinese
Apache-2.0
A BERT-based Chinese named entity recognition model, achieving near state-of-the-art performance on the People's Daily dataset
Sequence Labeling
Transformers Supports Multiple Languages

B
shibing624
439
31
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