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README.md
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@@ -23,8 +23,8 @@ Welcome to the model weights of [ChemBFN model](https://pubs.acs.org/doi/10.1021
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* [`zinc15_40m.pt`](zinc15_40m.pt): a 54M ChemBFN model trained on 40M molecules (SMILES) from ZINC15 database.
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* [`zinc15_190m.pt`](zinc15_190m.pt): a 54M ChemBFN model trained on 190M molecules (SMILES) from ZINC15 database.
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* [`zinc15_190m_large.pt`](zinc15_190m_large.pt): a 217M ChemBFN model trained on 190M molecules (SMILES) from ZINC15 database.
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* [`zinc15_40m_selfies.pt`](zinc15_40m_selfies.pt): a 54M ChemBFN model trained on 40M molecules (SELFIES) from ZINC15 database.
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* [`zinc15_40m_safe_large.pt`](zinc15_40m_safe_large.pt): a 217M ChemBFN model trained on 40M molecules (SAFE) from ZINC15 database.
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## Configuration file
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## Vocabulary file
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* [`zinc15_selfies_vocab.txt`](zinc15_selfies_vocab.txt) stores the SELFIES vocabulary.
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* [`zinc15_40m.pt`](zinc15_40m.pt): a 54M ChemBFN model trained on 40M molecules (SMILES) from ZINC15 database.
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* [`zinc15_190m.pt`](zinc15_190m.pt): a 54M ChemBFN model trained on 190M molecules (SMILES) from ZINC15 database.
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* [`zinc15_40m_selfies.pt`](zinc15_40m_selfies.pt): a 54M ChemBFN model trained on 40M molecules (SELFIES) from ZINC15 database.
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* [`zinc15_190m_large.pt`](zinc15_190m_large.pt): a 217M ChemBFN model trained on 190M molecules (SMILES) from ZINC15 database.
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* [`zinc15_40m_safe_large.pt`](zinc15_40m_safe_large.pt): a 217M ChemBFN model trained on 40M molecules (SAFE) from ZINC15 database.
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## Configuration file
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## Vocabulary file
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* [`zinc15_selfies_vocab.txt`](zinc15_selfies_vocab.txt) stores the SELFIES vocabulary.
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## Model Card Author
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Nianze TAO
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