# Multiple Entity Types
Gliner Biomed Large V1.0
Apache-2.0
GLiNER-BioMed is a specialized and efficient open biomedical NER model suite based on the GLiNER framework, achieving state-of-the-art zero-shot and few-shot performance in biomedical entity recognition tasks.
Sequence Labeling English
G
Ihor
163
6
Roberta Base Tweetner7 All
A named entity recognition model fine-tuned on the tweetner7 dataset based on roberta-base, specifically designed for entity recognition in Twitter text.
Sequence Labeling
Transformers

R
tner
30
0
Marathi Ner
A Marathi named entity recognition model fine-tuned based on MahaBERT, trained on the L3Cube-MahaNER dataset.
Sequence Labeling
Transformers Other

M
l3cube-pune
122
0
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