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  # Model Card for Antibody Generator (Based on ProGen2)
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- inference: false
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  ## Model Details
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  - Model Name: Antibody Generator
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  - Model Developer: Joesph Roberts, David Noble, Rahul Suresh, Neel Patel
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  - Model Type: Protein Generation, based on the ProGen2 architecture.
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  - License: Apache 2.0
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- - Code Repository: https://github.com/joethequant/docker_protein_generator, https://github.com/joethequant/docker_streamlit_antibody_protein_generation
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- - Baseline Model Reference: [ProGen2 Paper](https://arxiv.org/pdf/2206.13517.pdf)
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  ## Model Overview
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  The Antibody Generator is a specialized protein generation model developed for creating therapeutic antibodies. It is based on the ProGen2 model, an advanced language model developed by Salesforce. ProGen2, an enhancement of the original ProGen model launched in 2020, is pre-trained on a vast dataset of over 280 million protein sequences. With up to 6.4B parameters, ProGen2 demonstrates state-of-the-art performance in generating novel, viable protein sequences and predicting protein fitness.
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  ---
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  # Model Card for Antibody Generator (Based on ProGen2)
 
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  ## Model Details
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  - Model Name: Antibody Generator
 
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  - Model Developer: Joesph Roberts, David Noble, Rahul Suresh, Neel Patel
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  - Model Type: Protein Generation, based on the ProGen2 architecture.
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  - License: Apache 2.0
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+ - Code Repository: https://github.com/joethequant/docker_protein_generator
 
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  ## Model Overview
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  The Antibody Generator is a specialized protein generation model developed for creating therapeutic antibodies. It is based on the ProGen2 model, an advanced language model developed by Salesforce. ProGen2, an enhancement of the original ProGen model launched in 2020, is pre-trained on a vast dataset of over 280 million protein sequences. With up to 6.4B parameters, ProGen2 demonstrates state-of-the-art performance in generating novel, viable protein sequences and predicting protein fitness.
 
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