cser-lps โ€” structflo-cser weights

Learned Pair Scorer โ€” a ~557K-parameter CNN that scores (structure, label) box pairs from geometric features and visual crops (our own architecture, plain torch state_dict).

field value
latest version v0.3 (HF tag weights-v0.3)
file best.pt
sha256 3c5914e8798e9195820eda92c87824c53fb05a81fff690828388416331eaa531
requires structflo-cser>=0.4.0,<1.0.0

Usage

from structflo.cser.pipeline import ChemPipeline

pipeline = ChemPipeline()            # resolves the latest registered weights
pairs = pipeline.process("page.png")

Pin a version with ChemPipeline(weights="v0.3").

Licence and provenance

Weights: Apache-2.0. Training data: synthetic pages rendered with RDKit from ChEMBL (CC-BY-SA-3.0) SMILES plus an internal annotated corpus (not released). See the package's THIRD_PARTY_NOTICES.md for upstream attributions.

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