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MolGen-large

Transformers
PyTorch
bart
text2text-generation
molecular language model
SELFIES
molecule generation
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Yin Fang commited on
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  - molecule generation
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  - text: '[C][=C][C][=C][C][=C][Ring1][=Branch1]'
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- pipeline_tag: text-generation
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  ---
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  # MolGen
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  MolGen was introduced in the paper ["Molecular Language Model as Multi-task Generator"](https://arxiv.org/pdf/2301.11259.pdf) and first released in [this repository](https://github.com/zjunlp/MolGen). It is a pre-trained molecular generative model built using the 100\% robust molecular language representation, SELFIES.
 
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  - molecule generation
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  widget:
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  - text: '[C][=C][C][=C][C][=C][Ring1][=Branch1]'
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+ inference: false
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  ---
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  # MolGen
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  MolGen was introduced in the paper ["Molecular Language Model as Multi-task Generator"](https://arxiv.org/pdf/2301.11259.pdf) and first released in [this repository](https://github.com/zjunlp/MolGen). It is a pre-trained molecular generative model built using the 100\% robust molecular language representation, SELFIES.