thebajajra
/

RexBERT-large

Model card Files Files and versions

thebajajra commited on Sep 21

Commit

03b7ed8

·

verified ·

1 Parent(s): d1fae38

Update README.md

Files changed (1) hide show

README.md +5 -0

README.md CHANGED Viewed

@@ -36,6 +36,11 @@ tags:
 # RexBERT-large
 > **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
 ---

 # RexBERT-large
+[![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)
 > **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
 ---