Update README.md

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+library_name: peft
+tags:
+- text-embeddings
+- sentence-transformers
+- contrastive-learning
+- generative-embeddings
+- mteb
+datasets:
+- MS-MARCO
+- NLI
+metrics:
+- mteb
+pipeline_tag: feature-extraction
+---
 # GIRCSE: Generative Iterative Refinement for Contrastive Sentence Embeddings
 
 **GIRCSE** is a novel generative embedding framework that transforms Large Language Models (LLMs) into text encoders by leveraging their autoregressive generative capabilities. Unlike traditional encoder-only embeddings, GIRCSE generates a sequence of **"soft refinement tokens"** and utilizes an **Iterative Contrastive Refinement (ICR)** objective to progressively distill semantics into high-quality embeddings.