DNABERT-2

Assess

Tools

A DNA language model that JEPA-DNA uses as the base architecture for continual pre-training.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

7The New Stack·7/23/2026research
Nvidia releases JEPA-DNA genomic foundation model
Nvidia has released JEPA-DNA on Hugging Face, a genomic foundation model that combines masked language modeling with a latent-space predictive objective. Built on DNABERT-2, it is intended for non-commercial research tasks such as feature extraction, linear probing, continual pre-training, and zero-shot scoring of DNA sequence changes.