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  library_name: transformers
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  license: gpl-3.0
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  tags:
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- - mist
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- - chemistry
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- - molecular-property-prediction
 
 
 
 
 
 
 
 
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  ---
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- # MIST: Molecular Insight SMILES Transformers
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-
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  MIST is a family of molecular foundation models for molecular property prediction.
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  The models were pre-trained on SMILES strings from the [Enamine REAL Space](https://enamine.net/compound-collections/real-compounds/real-space-navigator) dataset using the Masked Language Modeling (MLM) objective, then fine-tuned for downstream prediction tasks.
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  For questions, issues, or licensing inquiries, please contact [venkvis@umich.edu](mailto:venkvis@umich.edu).
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- <hr>
 
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  library_name: transformers
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  license: gpl-3.0
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  tags:
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+ - mist
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+ - chemistry
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+ - molecular-property-prediction
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+ title: ' MIST: Molecular Insight SMILES Transformers'
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+ sdk: streamlit
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+ emoji: 🚀
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+ colorFrom: indigo
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+ colorTo: purple
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+ pinned: false
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+ thumbnail: >-
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+ https://cdn-uploads.huggingface.co/production/uploads/672fec35d68675461e02d9ab/NqT2SG2Ox5Z1bpGKNjXBP.png
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  ---
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  MIST is a family of molecular foundation models for molecular property prediction.
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  The models were pre-trained on SMILES strings from the [Enamine REAL Space](https://enamine.net/compound-collections/real-compounds/real-space-navigator) dataset using the Masked Language Modeling (MLM) objective, then fine-tuned for downstream prediction tasks.
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  For questions, issues, or licensing inquiries, please contact [venkvis@umich.edu](mailto:venkvis@umich.edu).
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+ <hr>