# Text Similarity

This is a sentence similarity model based on sentence-transformers, capable of mapping text to a 384-dimensional vector space, suitable for clustering and semantic search tasks.

This is a sentence embedding model based on sentence-transformers, capable of converting text into 768-dimensional dense vector representations, suitable for tasks such as semantic similarity calculation and text clustering.

Pretrained BERT model for Brazilian Portuguese, achieving state-of-the-art performance in multiple NLP tasks

This is a paraphrase detector developed based on DeepPavlov, migrated to the Transformers format, used to detect whether Russian texts are paraphrases.

A text classification model fine-tuned on GLUE QQP dataset based on bert-base-cased, used to compare performance differences between fnet-base and bert-base-cased

This model is a fine-tuned version of google/fnet-base on the GLUE QQP dataset for text classification tasks, specifically targeting the problem of detecting duplicate Quora question pairs.

Text classification model fine-tuned on GLUE MRPC dataset based on albert-base-v2