Multi-Modal Foundation · InstaDeepAI
2.5B-parameter DNA language model trained on 850 species genomes — state-of-the-art on promoter, enhancer, and splice site prediction tasks.
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Runs on On-demand GPU
Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.Run this model
About this model
2.5B-parameter DNA language model trained on 850 species genomes — state-of-the-art on promoter, enhancer, and splice site prediction tasks. Served through the generic Modal runner, which pulls InstaDeepAI/nucleotide-transformer-2.5b-multi-species from the Hugging Face Hub and runs it as a fill-mask pipeline. Inputs and outputs were derived from the repository's declared pipeline tag rather than written by hand — check the model card before relying on a result.
Standardized I/O contract
Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.
Inputs
Sequence with a mask
Outputs
Labels with confidence scores, highest first.
