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# LSTM-CRF Architecture
Xlmr Lstm Crf Resume Ner2
MIT
This model is a fine-tuned version based on xlm-roberta-base for specific datasets, primarily used for named entity recognition tasks.
Sequence Labeling
Transformers
TransformersX
hiendang7613
21
1
Ner English Fast
Flair's built-in fast English 4-class named entity recognition model, based on Flair embeddings and LSTM-CRF architecture, achieving an F1 score of 92.92 on the CoNLL-03 dataset.
Sequence Labeling English
N
flair
978.01k
24
Ner German Legal
A German legal named entity recognition model included in the Flair framework, specifically designed for legal texts, supporting 19 types of legal entity recognition
Sequence Labeling German
N
flair
22.32k
22
Frame English Fast
Flair's built-in fast English verb disambiguation model for predicting semantic role labels of verbs in sentences.
Sequence Labeling English
F
flair
368
1
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