# Semantic Matching

This is a BERT-tiny fine-tuned cross-encoder model for computing similarity scores between text pairs, suitable for tasks like semantic search and text classification.

This is a cross-encoder model fine-tuned from bert-tiny for computing similarity scores between text pairs, suitable for tasks like semantic textual similarity and semantic search.

This is a cross-encoder model fine-tuned from bert-tiny for calculating similarity scores between text pairs, suitable for various tasks such as semantic textual similarity and semantic search.

A pre-trained model for sentence similarity calculation, capable of converting sentences into embedded representations in a high-dimensional vector space and computing their semantic similarity.

The OpenSearch Neural Sparse Encoding Model v2 Distilled is an efficient learned sparse retrieval model designed for OpenSearch, capable of encoding queries and documents into 30,522-dimensional sparse vectors.

The ONNX O4 version of BGE-RERANKER-V2 is an optimized text reordering model that supports relevance scoring for multilingual text pairs.

Quantized ONNX version of the BAAI/bge-small-en-v1.5 model for text classification and similarity search.

tao-8k-origin is a model focused on sentence similarity calculation, supporting multiple similarity measurement methods and excelling in various Chinese evaluation datasets.

SimCSE (Supervised Version) is a Chinese sentence similarity calculation model based on supervised learning, optimizing sentence embeddings through contrastive learning.

This is a test model fine-tuned using the Spanish dataset from stsb_multi_mt for semantic text similarity tasks.

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 is a text classification model based on the bert-base-uncased pre-trained model and fine-tuned on the MultiNLI dataset

Sentence similarity calculation model based on Sentence-Transformers, using RoBERTa architecture and mean pooling