Aurigene-AI/ChemBERTa-77M-MTR

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### Mirrored by Aurigene AI Discovery stage: Lead optimization ChemBERTa-2 (77M) pretrained with multitask regression over 200 normalised RDKit descriptors. A strong, cheap baseline for MoleculeNet-style ADMET endpoints. Upstream: `DeepChem/ChemBERTa-77M-MTR` - all credit to the original authors; the model card and licence below are theirs. Explore the rest of the catalogue: Molecule Explorer - Protein Target Explorer - Drug Discovery Model Hub

ChemBERTa-77M-MTR

See the upstream model card for full details, training data and citation.