Multi-Modal Foundation · doctolib-lab
French medical encoder (RoBERTa, 111M params, 512-token context) pretrained from scratch on FineMed-fr — state-of-the-art on DrBenchmark, leading five of seven tasks across French and English medical encoder families.
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About this model
French medical encoder (RoBERTa, 111M params, 512-token context) pretrained from scratch on FineMed-fr — state-of-the-art on DrBenchmark, leading five of seven tasks across French and English medical encoder families. Served through the generic Modal runner, which pulls doctolib-lab/doctobert-fr-base 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.
