UniParser
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MolParser-Mobile-V2

molparser_vision_encoder_decoder

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AI4Industry commited on Sep 29

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 💻 <a href="https://github.com/dptech-corp/MolParser">GitHub</a> |
 📘 <a href="https://github.com/dptech-corp/MolParser/blob/main/skills/molparser-extended-smiles/extended-smiles-spec.md">E-SMILES 2.0 Spec</a> |
 📄 <a href="https://arxiv.org/abs/2609.05807">Report</a> |
-🚀 <a href="https://ocsr.dp.tech/">Demo</a>
 </p>
 **MolParser-Mobile-V2** is a lightweight Optical Chemical Structure Recognition (OCSR) model that converts molecular structure images directly into **E-SMILES 2.0**. It upgrades MolParser-Mobile for broader recognition of structures found in chemical literature, especially complex Markush structures, while retaining a compact 10M parameter architecture.

 💻 <a href="https://github.com/dptech-corp/MolParser">GitHub</a> |
 📘 <a href="https://github.com/dptech-corp/MolParser/blob/main/skills/molparser-extended-smiles/extended-smiles-spec.md">E-SMILES 2.0 Spec</a> |
 📄 <a href="https://arxiv.org/abs/2609.05807">Report</a> |
+🚀 <a href="https://huggingface.co/spaces/AI4Industry/molparser-mobile">Demo</a>
 </p>
 **MolParser-Mobile-V2** is a lightweight Optical Chemical Structure Recognition (OCSR) model that converts molecular structure images directly into **E-SMILES 2.0**. It upgrades MolParser-Mobile for broader recognition of structures found in chemical literature, especially complex Markush structures, while retaining a compact 10M parameter architecture.