Add technical report link into model card (#2)

- Add technical report link into model card (aadb844721b0840e6337814b1bf514c977e64a70)


Co-authored-by: Mengyao Xu <[email protected]>

README.md

@@ -24,6 +24,8 @@ pipeline_tag: visual-document-retrieval
 
 The **nvidia/llama-nemoretriever-colembed-1b-v1** is a late interaction embedding model  fine-tuned for query-document retrieval. Users can input `queries`, which are text, or `documents` which are page images, to the model. The model outputs ColBERT-style multi-vector numerical representations for input queries and documents.  It is the smaller version of [llama-nemoretriever-colembed-3b-v1](https://huggingface.co/nvidia/llama-nemoretriever-colembed-3b-v1), which achieved 1st place on ViDoRe V1 (nDCG@5), ViDoRe V2 (nDCG@5) and MTEB VisualDocumentRetrieval (Rank Borda) (as of 27th June, 2025). **nvidia/llama-nemoretriever-colembed-1b-v1** achieves 2nd place on the benchmarks.
 
+For more technical details, please refer to our technical report: [Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model](https://www.arxiv.org/abs/2507.05513)
+
 This model is for non-commercial/research use only.
 
 ### License/Terms of Use