Models used in the paper "A Chemical Language Model for Multi-Class Molecular Taste Prediction" (https://doi.org/10.26434/chemrxiv-2024-d6n15)
Fart Labs
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Deep Neural Nets for Chemistry
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Welcome to Fart Labs. This space contains fine tuned transformer models which were trained in scope of the project "A Chemical Language Model for Multi-Class Molecular Taste Prediction."
The models and datasets are licensed under the MIT License.
Collections
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spaces
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models
18
FartLabs/FART_Chemberta_PubChem10M
Text Classification
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25
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FartLabs/Stable_A
Text Classification
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26
FartLabs/Stable_B
Text Classification
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23
FartLabs/Stable_C
Text Classification
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27
FartLabs/Model_E
Text Classification
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4
FartLabs/Model_C
Text Classification
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68
FartLabs/Model_B
Text Classification
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10
FartLabs/Model_A
Text Classification
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10
FartLabs/FART_SMILES_tokenized_PubChem_shard00_160k_augmented
Text Classification
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10
FartLabs/FART_ChemBERTa-77M-MLM_Augmented
Text Classification
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27