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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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-
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  ### Direct Use
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  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ - **Developed by:** Nanil Therapeutics
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+ - **Funded by [optional]:** Self-funded by Nanil Therapeutics(additional funding TBD)
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+ - **Shared by [optional]:** Nanil Therapeutics
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+ - **Model type:** Transformer-based generative language model
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+ - **Language(s) (NLP):** Codon sequences (biological triplet code)
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+ - **License:** Proprietary; research use under license; commercial license available on request
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+ - **Finetuned from model [optional]:** GPT-2 for codon sequence generation and optimization
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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+ - **Repository:** Not publicly available
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+ - **Paper [optional]:** Not published yet
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+ - **Demo [optional]:** Not available
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  ## Uses
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+ mRNA-GPT is designed to generate biologically plausible codon sequences optimized for expression and stability using reinforcement learning with biological reward functions.
 
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  ### Direct Use
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