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⚡️ Exciting Release: Qwen3-Embedding & Qwen3-Reranker! 

✨ Key Features:  
✅ Models with 0.6B, 4B, and 8B parameters  
✅ Supports 119 languages  
✅ SOTA on MMTEB, MTEB, and MTEB-Code  
✅ Open code on Hugging Face, GitHub, and ModelScope  
✅ Access via API on Alibaba Cloud  

🔍 Applications: Document search, RAG, classification, sentiment analysis, code search, and more!  

🔗 Links:  
Hugging Face: https://huggingface.co/collections/Qwen/qwen3-embedding-6841b2055b99c44d9a4c371f  
Qwen3-Reranker: https://huggingface.co/collections/Qwen/qwen3-reranker-6841b22d0192d7ade9cdefea  
GitHub: https://github.com/QwenLM/Qwen3-Embedding

This release seems to offer a robust set of tools for natural language processing tasks across multiple languages. Excited to see the open-source availability on Hugging Face and GitHub, making it accessible for developers and researchers. The API access on Alibaba Cloud adds another layer of convenience for integrating these models into applications. Great work on the Qwen3-Embedding and Qwen3-Reranker!