Multi-Modal Foundation · nasa-impact
RoBERTa-based language model pre-trained on NASA Science Mission Directorate literature for earth and space science information extraction.
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About this model
RoBERTa-based language model pre-trained on NASA Science Mission Directorate literature for earth and space science information extraction. Served through the generic Modal runner, which pulls nasa-impact/nasa-smd-ibm-v0.1 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.