Dannyang/EvoNB_1This is one of the five models obtained by fine tuning the esm2 t33 650M UR50D on approximately 7.66 million nanobody sequences. EvoNB 1 EvoNB 2 EvoNB 3 EvoNB 4 EvoNB 5 For more information, please visit https://github.com/DynaX C/EvoNB.

EvoNB_1

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This is one of the five models obtained by fine-tuning the esm2 t33 650M UR50D on approximately 7.66 million nanobody sequences.

Tasks:fill-maskLibraries:transformersLicense:mit

imported

huggingface

minio

transformers

safetensors

esm

fill-mask

dataset:Dannyang/Nanobody_Sequence_Dataset

base_model:facebook/esm2_t33_650M_UR50D

base_model:finetune:facebook/esm2_t33_650M_UR50D

license:mit

endpoints_compatible

deploy:azure

region:us

1downloads0likestransformersLicense:mit

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This is one of the five models obtained by fine-tuning the esm2_t33_650M_UR50D on approximately 7.66 million nanobody sequences.

For more information, please visit https://github.com/DynaX-C/EvoNB.

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Tasks

fill-mask

Trained on

Dannyang/Nanobody_Sequence_Dataset

Source

Mirrored from an external registry.

Last synced 6/15/2026

Model tree for Dannyang/EvoNB_1

Base model

facebook/esm2_t33_650M_UR50D

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