Molecular Encoders
Collection
Collection of pre-trained encoder models trained on large molecules databases. • 3 items • Updated • 1
SMILES-DeBERTa-base
SMILES-DeBERTa-base was designed to be used as an encoder of SMILES sequences in a general organic chemistry context.
Model Details
Model Description
SMILES-DeBERTa-base is based on the DeBERTa-V2 model with optimizations in implementing SMILES tokenizer for the encoder.
- Developed by: Knowladgator Engineering
- Language(s) (NLP): SMILES
- License: Apache License 2.0
Citation
Coming soon.
Model Card Authors
Model Card Contact
- Downloads last month
- 16