# Multilingual BERT

This is a Korean sentiment analysis model fine-tuned from a multilingual BERT model, specifically designed for analyzing the sentiment tendencies of Korean customer reviews.

A spam detection model for SMS messages fine-tuned based on the multilingual BERT model, capable of classifying messages as normal or spam

A multilingual ALBERT model pretrained with masked language modeling (MLM) objective, supporting 64k vocabulary size and case sensitivity

A multilingual QA model fine-tuned on the SQuAD v2 dataset based on bert-base-multilingual-cased

This model is a fine-tuned Spanish negation scope detection model based on ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT

This is a multilingual BERT model fine-tuned for English POS tagging tasks, trained on the Penn Treebank with an F1 score of 96.69.

HingRoBERTa-Mixed is a Hindi-English code-mixed BERT model trained on a combination of Roman and Devanagari scripts.

A Thai extractive question answering model based on multilingual BERT, case-sensitive, suitable for Thai Q&A tasks.

HingBERT is a Roman script-trained Hindi-English code-mixed BERT model, suitable for processing mixed Hindi and English texts.

A multilingual BERT-based named entity recognition model for Bengali, used to identify entities such as person names, organization names, and locations in Bengali text.

A Polish QA system fine-tuned on a multilingual BERT model, trained on a machine-translated Polish SQuAD2.0 dataset

A Polish Q&A system fine-tuned on the multilingual BERT model, performing excellently on the Polish SQuAD1.1 dataset

Based on Google's BERT base multilingual model, fine-tuned on Q&A datasets in 11 languages, supporting cross-lingual Q&A tasks

Dutch Q&A model fine-tuned from Google's multilingual BERT, trained on translated SQuAD2.0 dataset

A Portuguese archive retrieval assistant model fine-tuned based on bert-base-multilingual-cased, mainly used for token classification tasks

This is a checkpoint model fine-tuned on NSMC (Naver Sentiment Movie Corpus) based on bert-base-multilingual-cased, designed for sentiment analysis tasks.

Bengali QA model fine-tuned on mBERT using the tydiqa dataset

This is a customized lite version of bert-base-multilingual-cased, supporting English, Greek, and Russian processing, fully reproducing the representations generated by the original model while maintaining original accuracy.

A lightweight customized version based on bert-base-multilingual-cased, supporting English and Hindi while maintaining original model accuracy

This is a customized and streamlined version of bert-base-multilingual-cased, focusing on five languages: English, French, German, Norwegian, and Danish, while maintaining the original model's representation accuracy.

This is a smaller version of bert-base-multilingual-cased, supporting 15 languages while preserving the original model's accuracy.

A lightweight version of bert-base-multilingual-cased supporting English, French, Spanish, German, and Chinese

This is a streamlined version of bert-base-multilingual-cased, specifically handling English, French, Ukrainian, Greek, and Romanian while maintaining the original model's accuracy.