Models
ChemBERTa: Training a BERT-like transformer model for masked language modelling of chemical SMILES
Model Card for ChemBERTa-10M-MTR Model Details Model Description More information needed - Developed by: DeepChem - Shared by [Optional]:
Model artifact mirrored from the HuggingFace Hub.
MoLFormer is a class of models pretrained on SMILES string representations of up to 1.1B molecules from ZINC and PubChem.
Message Passing Neural Networks for Molecule Property Prediction
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
TxGemma is a family of Google models fine-tuned from Gemma 2 on therapeutic-development tasks from the Therapeutics Data Commons (TDC), covering small…
TxGemma is a family of Google models fine-tuned from Gemma 2 on therapeutic-development tasks from the Therapeutics Data Commons (TDC), covering small…
TxGemma is a family of Google models fine-tuned from Gemma 2 on therapeutic-development tasks from the Therapeutics Data Commons (TDC), covering small…
TxGemma is a family of Google models fine-tuned from Gemma 2 on therapeutic-development tasks from the Therapeutics Data Commons (TDC), covering small…
TxGemma is a family of Google models fine-tuned from Gemma 2 on therapeutic-development tasks from the Therapeutics Data Commons (TDC), covering small…