# Contrastive Learning Fine-tuning

A representation learning-based deep fuzzy matching system, specifically designed for cross-lingual person and company name entity resolution

A few-shot learning text classification model based on the SetFit framework, achieving efficient classification through contrastive learning and classification head training

A sentence-transformers model developed by Hum, supporting 4096 tokens long text embedding, suitable for semantic search and clustering tasks

This is a sentence-transformers-based model specifically fine-tuned for code clone detection tasks, capable of mapping code snippets into a 768-dimensional vector space.

A sentence embedding model trained on StackOverflow data based on Microsoft's mpnet-base model, suitable for semantic search and sentence similarity calculation