# Multilingual Named Entity Recognition

Byt5 Small English
MIT
Historical multilingual and monolingual ByT5 base model, current version focuses on English text processing.
Large Language Model English
B
hmbyt5
30
1
Xlm Roberta Large Ner Hrl Finetuned Ner
A named entity recognition model fine-tuned on a toy dataset based on the xlm-roberta-large-ner-hrl model
Sequence Labeling Transformers
X
kinanmartin
29
0
Mbert Multiconer22 Hi
This model is specifically designed for the SemEval Multiconer task, serving as a named entity recognition (NER) model to identify complex entity categories in multilingual and cross-domain texts.
Sequence Labeling Transformers
M
sumitrsch
23
1
Mluke Large Lite
Apache-2.0
mLUKE is the multilingual extension of LUKE, supporting named entity recognition, relation classification, and question answering tasks in 24 languages
Large Language Model Transformers Supports Multiple Languages
M
studio-ousia
65
2
Mluke Base Lite
Apache-2.0
mLUKE is a multilingual extension of LUKE, supporting text processing tasks in 24 languages
Large Language Model Transformers Supports Multiple Languages
M
studio-ousia
153
2
Mluke Base
Apache-2.0
mLUKE is a multilingual extension of LUKE, supporting named entity recognition, relation classification, and question answering tasks in 24 languages.
Large Language Model Transformers Supports Multiple Languages
M
studio-ousia
64
6
Mbert Base Albanian Cased Ner
MIT
A fine-tuned Albanian named entity recognition model based on bert-base-multilingual-cased, capable of identifying person names, organization names, and location names.
Sequence Labeling Transformers Other
M
akdeniz27
95
2
Mluke Large
Apache-2.0
mLUKE is the multilingual extension of LUKE, supporting named entity recognition, relation classification, and question answering tasks in 24 languages.
Large Language Model Transformers Supports Multiple Languages
M
studio-ousia
70
2
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