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MolGen-large

Transformers
PyTorch
bart
text2text-generation
molecular language model
SELFIES
molecule generation
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  - molecular language model
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  - SELFIES
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  - molecule generation
 
 
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  inference:
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  parameters:
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  num_return_sequences: 5
 
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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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  - molecular language model
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  - 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:
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  parameters:
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  num_return_sequences: 5
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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.