openbmb
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MiniCPM-Embedding-Light

Feature Extraction

sentence-transformers

Eval Results (legacy)

Model card Files Files and versions

Kaguya-19 commited on Jan 17, 2025

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@@ -11993,7 +11993,7 @@ UltraRAG-Embedding结构上采取双向注意力和 Weighted Mean Pooling [1]。
 UltraRAG-Embedding incorporates bidirectional attention and Weighted Mean Pooling [1] in its architecture. The model underwent multi-stage training using approximately 260 million training examples, including open-source, synthetic, and proprietary data.
-We also invite you to explore the RAG toolkit series:
 - Retrieval Model: [UltraRAG-Embedding](https://huggingface.co/openbmb/UltraRAG-Embedding)
 - Re-ranking Model: [UltraRAG-Reranker](https://huggingface.co/openbmb/UltraRAG-Reranker)

 UltraRAG-Embedding incorporates bidirectional attention and Weighted Mean Pooling [1] in its architecture. The model underwent multi-stage training using approximately 260 million training examples, including open-source, synthetic, and proprietary data.
+We also invite you to explore the UltraRAG series:
 - Retrieval Model: [UltraRAG-Embedding](https://huggingface.co/openbmb/UltraRAG-Embedding)
 - Re-ranking Model: [UltraRAG-Reranker](https://huggingface.co/openbmb/UltraRAG-Reranker)