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@@ -17,6 +17,9 @@ In total, PepMLM enables the generative design of candidate binders to any targe
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  - Colab Notebook: [Link](https://colab.research.google.com/drive/1u0i-LBog_lvQ5YRKs7QLKh_RtI-tV8qM?usp=sharing)
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  - Preprint: [Link](https://arxiv.org/abs/2310.03842)
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  ```
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  # Load model directly
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
 
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  - Colab Notebook: [Link](https://colab.research.google.com/drive/1u0i-LBog_lvQ5YRKs7QLKh_RtI-tV8qM?usp=sharing)
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  - Preprint: [Link](https://arxiv.org/abs/2310.03842)
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+ **Graphical Summary**:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63df6223f351dc0745681f77/Ov_GhpwQHCFDQd7qK5oyq.png)
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+
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  ```
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  # Load model directly
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  from transformers import AutoTokenizer, AutoModelForMaskedLM