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license: apache-2.0
library_name: structflo-cser
tags:
- object-detection
- chemistry
- document-analysis
---
# cser-lps — structflo-cser weights
Learned Pair Scorer — 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
```python
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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