# Case-sensitive

The medium model in the RUPunct series, specializing in Russian text punctuation restoration, achieving a balance between performance and quality.

Multilingual ALBERT model pretrained with masked language modeling objective, supporting 50+ languages, case-sensitive

A pre-trained BERT model for Uzbek (12-layer, case-sensitive), trained on a large news corpus (Daryo)

BERT-large variant pretrained on large-scale scientific paper collections with 340 million parameters, specializing in scientific literature comprehension

This is a multilingual Roberta model that can generate embedding vectors for Bulgarian sentences. It is trained based on the Sentence-BERT concept and supports both Bulgarian and English.

BERT-base based English extractive QA model, trained on SQuAD 2.0 dataset, case-sensitive

FlauBERT is a French BERT model pretrained on a large-scale French corpus, developed by the French National Centre for Scientific Research (CNRS), offering different versions to accommodate various needs.

A question-answering model fine-tuned on the SQuAD V2 dataset based on BioBERT v1.1 Pubmed, specifically designed for biomedical QA tasks

FlauBERT is a French BERT model trained on a large-scale French corpus, offering pretrained models of various sizes along with the FLUE evaluation benchmark.

This is a pre-trained Mongolian BERT model, trained on Mongolian Wikipedia and news datasets, supporting Mongolian text processing tasks.

ALBERT base model pre-trained on French Wikipedia, supports case sensitivity, suitable for French NLP tasks.

A Named Entity Recognition model based on DistilBERT, fine-tuned on the CoNLL-2003 English dataset, suitable for case-sensitive text processing.

A pre-trained BERT model for Galician (6 layers, case-sensitive). Trained on Wikipedia.

This is an ELECTRA model pretrained on a custom Danish corpus (approximately 17.5GB), suitable for Danish text processing tasks.

A RoBERTa model developed for Tagalog (Filipino), trained using the TLUnified corpus, supporting Filipino NLP tasks

This is a BERT base model for Romanian, case-sensitive, trained on a 15GB corpus.

A Filipino RoBERTa model trained on the TLUnified corpus, improved from previous versions with case-sensitive processing support.

FlauBERT is a French BERT model pre-trained on a large-scale French corpus, developed by the French National Center for Scientific Research.

This is a Ukrainian-customized version of bert-base-multilingual-cased, supporting Ukrainian text processing while maintaining the original model's accuracy.

A Finnish ConvBERT generator model pre-trained with Replaced Token Detection (RTD) objective, specialized for fill-mask tasks.

This is a customized compact version of bert-base-multilingual-cased, specifically designed for English and Danish, retaining the original model's representational capabilities.

This is a lightweight BERT model optimized for German, retaining most of the original BERT model's performance through knowledge distillation while significantly reducing model size and computational requirements.