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# High-Precision Entity Recognition
Gretel Gliner Bi Base V1.0
Apache-2.0
Gretel GLiNER is a fine-tuned version based on the GLiNER foundation model, specifically designed for detecting personally identifiable information (PII) and protected health information (PHI).
Sequence Labeling English
G
gretelai
80
6
Eds Pseudo Public
Bsd-3-clause
EDS-Pseudo is a hybrid model for detecting identifiable entities in medical documents, primarily used for anonymizing clinical reports in the AP-HP clinical data warehouse.
Sequence Labeling
Safetensors Supports Multiple Languages
Safetensors Supports Multiple LanguagesE
AP-HP
4,373
15
Klue Roberta Small Ner Identified
A Korean named entity recognition model fine-tuned from klue/roberta-small, specializing in personal information anonymization
Sequence Labeling
Transformers Korean
Transformers KoreanK
vitus9988
6,273
2
Mdeberta V3 Base Finetuned Ai4privacy V2
A PII (Personally Identifiable Information) identification and masking model fine-tuned based on microsoft/mdeberta-v3-base, supporting multilingual privacy data processing
Sequence Labeling Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesM
Isotonic
380
7
Tempclin Biobertpt All
A Portuguese clinical text named entity recognition model trained on BioBERTpt (Full Version), specifically designed for medical entity recognition in the TempClinBr corpus
Sequence Labeling Transformers Other
Transformers OtherT
pucpr
16
1
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