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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Multi-Modal Foundation
  3. GENA-LM BERT base (T2T)

Multi-Modal Foundation · AIRI-Institute

GENA-LM BERT base (T2T)

BERT-base-style genomic foundation model trained on T2T assemblies — lighter-weight backbone for genomic sequence understanding.

Verify the licence before commercial useThe See model card licence carries terms worth reading before you depend on it.See model card
Availability
On demand
Typical latency
12s
Credits per run
~28
Compute tier
S · Micro

< 1s

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

GENA-LM BERT base (T2T)

Use the model's mask token, commonly [MASK] or <mask>.

Needs sequence with a mask

About this model

BERT-base-style genomic foundation model trained on T2T assemblies — lighter-weight backbone for genomic sequence understanding. Served through the generic Modal runner, which pulls AIRI-Institute/gena-lm-bert-base-t2t 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

  • sequencetextarea · required

    Sequence with a mask

Outputs

  • labelstable

    Labels with confidence scores, highest first.

Specification

Hardware
CPU only
GPU memory
16 GB
Version
hub
Licence
See model card
Backend
On demandOn-demand GPU
MCP server
mcp-sandbox-server

Tasks

fill-mask

Source

  • Model card
  • Repository
biologygenomicsmedicinefill-mask