# Cross-encoder architecture

This is a model based on the Cross Encoder architecture, specifically designed for text pair classification tasks. It is fine-tuned on the Quora question pair dataset and is suitable for semantic similarity judgment and semantic search scenarios.

This is a Polish-based cross-encoder model for text ranking and sentence similarity calculation.

This is a Cross-Encoder model based on SentenceTransformers for calculating semantic similarity scores between sentence pairs.

This model is a cross-encoder trained on Italian language for predicting semantic similarity scores between two sentences.

This model is a zero-shot classifier trained on bertin-roberta-base-spanish, suitable for Spanish text classification tasks.