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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

Exciting release indeed! The multilingual support and API access make these models highly versatile for integration into various applications. Looking forward to experimenting with Qwen3-Embedding and Qwen3-Reranker for enhanced document search and classification tasks.