| pretty_name: p-IgGen | |
| library_name: transformers | |
| tags: [science, antibodies, protein,drug discovery] | |
| # Model Card for Model ID | |
| Auto-regressive protein language model for paired antibody library generation. | |
| Pretrained on unpaired heavy and light chain sequences from the Observed Antibody Space (OAS), and finetuned on paired sequences. | |
| ## Getting Started? | |
| This model was featured in the Hugging Face blog ***How to Train an Antibody Developability Model*** (found here: https://huggingface.co/blog/ginkgo-datapoints/making-antibody-embeddings-and-predictions). Sample code on how to get started using this model can be found in the blog. | |
| ## Model Details | |
| ### Model Description | |
| - **Funded by:** EPSRC, AstraZeneca | |
| - **License:** BSD-3-Clause license | |
| ### Model Sources | |
| <!-- Provide the basic links for the model. --> | |
| Note: This is a duplicate of Ollie Turnbull's model repo, found here: https://huggingface.co/ollieturnbull/p-IgGen | |
| - **Repository:** https://github.com/OliverT1/p-IgGen | |
| - **Paper:** https://academic.oup.com/bioinformatics/article/40/11/btae659/7888884 | |