MolT5 (Molecular T5) is a self-supervised learning framework pretrained on unlabeled natural language text and molecule strings with two end goals: molecular captioning (given a molecule, generate its description) and text-based de novo molecular generation (given a description, propose a molecule that matches it). This implementation is focused on molecular captioning.
- EOS model ID:
eos2rd8 - Slug:
molt5-smiles-to-caption
- Input:
Compound - Input Shape:
Single - Task:
Representation - Output:
Text - Output Type:
String - Output Shape:
Single - Interpretation: Description of a molecule
- Publication
- Source Code
- Ersilia contributor: Amna-28
If you use this model, please cite the original authors of the model and the Ersilia Model Hub.
This package is licensed under a GPL-3.0 license. The model contained within this package is licensed under a None license.
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