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This week we released ModernBERT, the first encoder to reach SOTA on most common benchmarks across language understanding, retrieval, and code, while running twice as fast as DeBERTaV3 on short context and three times faster than NomicBERT & GTE on long context.

This is awesome! Are there any docs on how to use ModernBERT for ColBERT?

Thanks. ModernBERT is a base model. It’ll need additional contrastive pretraining to really shine as a retrieval model, but our early results in the paper look promising. Hopefully there will be multiple open source retrieval tuned models to choose from early next year, including ColBERT finetunes.

That’d be sweet. I thought I saw a ColBERT file in the GitHub repo, so wondered what it was. But I get that it’ll need other training. Not my forte sadly, so I look forward to seeing those!

Hi, are there any examples or docs on how to use for entailment/NLI--is modernBERT suitable for 0-shot classification?

ModernBERT is a “foundation model” so you’ll either need to finetune it for entailment/NLI or wait for someone else to finetune it. I suspect it would be good at NLI once finetuned.