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  This is one of the five models obtained by fine-tuning the [esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on [approximately 7.66 million nanobody sequences](https://huggingface.co/datasets/Dannyang/Nanobody_Sequence_Dataset).
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  - [EvoNB_1](https://huggingface.co/Dannyang/EvoNB_1)
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- - [EvoNB_2](https://huggingface.co/Dannyang/EvoNB_1)
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- - [EvoNB_3](https://huggingface.co/Dannyang/EvoNB_1)
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- - [EvoNB_4](https://huggingface.co/Dannyang/EvoNB_1)
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- - [EvoNB_5](https://huggingface.co/Dannyang/EvoNB_1)
 
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  This is one of the five models obtained by fine-tuning the [esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on [approximately 7.66 million nanobody sequences](https://huggingface.co/datasets/Dannyang/Nanobody_Sequence_Dataset).
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  - [EvoNB_1](https://huggingface.co/Dannyang/EvoNB_1)
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+ - [EvoNB_2](https://huggingface.co/Dannyang/EvoNB_2)
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+ - [EvoNB_3](https://huggingface.co/Dannyang/EvoNB_3)
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+ - [EvoNB_4](https://huggingface.co/Dannyang/EvoNB_4)
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+ - [EvoNB_5](https://huggingface.co/Dannyang/EvoNB_5)