# Case-insensitive

This is a sentence-transformers model that maps sentences and paragraphs to a 768-dimensional dense vector space, suitable for tasks like clustering or semantic search.

This is a case-insensitive Italian BERT model based on sentence-transformers, designed to generate 768-dimensional dense vector representations for sentences and paragraphs.

One of the small BERT models released by Google Research, English-only, case-insensitive, trained with WordPiece masking.

BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model based on the Transformer architecture, developed by Google.

This is a small Greek language model based on the RoBERTa architecture, with a parameter scale approximately half of the base model. It is suitable for the masked filling task of Greek text.

This is a tiny version of the BERT model, case-insensitive, suitable for natural language processing tasks in resource-constrained environments.

A case-insensitive DistilBERT model fine-tuned on the Multi-Genre Natural Language Inference (MNLI) dataset, optimized for zero-shot classification tasks

A RoBERTa model based on Turkish, pre-trained with masked language modeling (MLM) objective, case-insensitive.

A RoBERTa model for Turkish language, pre-trained with masked language modeling objective, case-insensitive, suitable for Turkish text processing tasks.

A RoBERTa model pre-trained on Turkish with masked language modeling (MLM) objective, case-insensitive, medium-sized architecture.

PERT is a BERT-based pre-trained language model designed for English text processing tasks.

A Q&A system model fine-tuned on the SQuAD1.1 dataset based on BERT-base uncased model

IndoBERT is an advanced language model for Indonesian, based on the BERT architecture, trained using masked language modeling and next sentence prediction objectives.

Funnel Transformer is an English text pre-training model based on self-supervised learning, adopting objectives similar to ELECTRA, achieving efficient language processing by filtering sequence redundancy.

This is a GPT2-small model pretrained on Indonesian Wikipedia data, specializing in Indonesian text generation tasks.

IndoBERT is a top-tier language model developed for Indonesian, based on the BERT architecture, trained using masked language modeling and next sentence prediction objectives.

RuPERTa is a case-insensitive RoBERTa model trained on a large Spanish corpus, using RoBERTa's improved pre-training methods, suitable for various Spanish NLP tasks.

Transformer model pre-trained on English corpus using ELECTRA-like objectives, acquiring text representations through self-supervised learning

This is a RoBERTa model pretrained on Kinyarwanda datasets using Masked Language Modeling (MLM) objective, with case-insensitive tokenization during pretraining.

Finnish sentence BERT model based on FinBERT training, used for sentence similarity calculation and feature extraction

This is a large Russian language model based on the BERT architecture, specifically designed for generating sentence embeddings with case-insensitive processing support.

Transformer model pre-trained on English corpus using ELECTRA-like objectives, suitable for text feature extraction and downstream task fine-tuning

A Danish BERT model developed by Certainly (formerly BotXO), supporting case-insensitive Danish text processing.