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[](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
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[](https://huggingface.co/datasets/thebajajra/Ecom-niverse)
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[](https://github.com/bajajra/RexBERT)
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[ 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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[](https://huggingface.co/collections/thebajajra/rexbert-68cc4b1b8a272f6beae5ebb8)
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[](https://huggingface.co/datasets/thebajajra/Ecom-niverse)
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[](https://github.com/bajajra/RexBERT)
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[](https://arxiv.org/abs/2602.04605)
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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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