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README.md
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@@ -30,13 +30,6 @@ 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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# Apply for Access
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As of February 2024, the model has been gated on HuggingFace. If you wish to use our model, please visit our page on the HuggingFace site ([Link](https://huggingface.co/ChatterjeeLab/PepMLM-650M)) and submit your access request there. An active HuggingFace account is necessary for both the application and subsequent modeling use. Approval of requests may take a few days, as we are a small lab with a manual approval process.
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Once your request is approved, you will need your personal access token to begin using this notebook. We appreciate your understanding.
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- How to find your access token: https://huggingface.co/docs/hub/en/security-tokens
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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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```
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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