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 > **TL;DR**: An encoder-only transformer (ModernBERT-style) for **e-commerce** applications, trained in three phases—**Pre-training**, **Context Extension**, and **Decay**—to power product search, attribute extraction, classification, and embeddings use cases. The model has been trained on 2.3T+ tokens along with 350B+ e-commerce-specific tokens
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 ## Table of Contents
 - [Quick Start](#quick-start)
 - [Intended Uses & Limitations](#intended-uses--limitations)

 > **TL;DR**: An encoder-only transformer (ModernBERT-style) for **e-commerce** applications, trained in three phases—**Pre-training**, **Context Extension**, and **Decay**—to power product search, attribute extraction, classification, and embeddings use cases. The model has been trained on 2.3T+ tokens along with 350B+ e-commerce-specific tokens
 ---
+[![License: Apache2.0](https://img.shields.io/badge/License-Apache2.0-green.svg)](https://www.apache.org/licenses/LICENSE-2.0)
+[![Models](https://img.shields.io/badge/🤗%20Hugging%20Face-Models-red)](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
+[![Data](https://img.shields.io/badge/🤗%20Training%20Data-Ecomniverse-yellow)](https://huggingface.co/datasets/thebajajra/Ecom-niverse)
+[![GitHub](https://img.shields.io/badge/GitHub-Code-blue)](https://github.com/bajajra/RexBERT)
 ## Table of Contents
 - [Quick Start](#quick-start)
 - [Intended Uses & Limitations](#intended-uses--limitations)