Download
SimCSE (Simple Contrastive Learning of Sentence Embeddings) is a machine learning framework for training sentence embeddings using contrastive learning. It improves representation learning for NLP tasks.
Features
- Uses contrastive learning for sentence embeddings
- Pretrained on large-scale datasets for better performance
- Supports both supervised and unsupervised training
- Compatible with Hugging Face Transformers
- Outperforms traditional sentence embedding models
- Useful for semantic similarity, retrieval, and clustering
Project Samples
Categories
Natural Language Processing (NLP)License
MIT LicenseFollow SimCSE
Other Useful Business Software
Auth0 B2B Essentials: SSO, MFA, and RBAC Built In
Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of SimCSE!
