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Dannyang
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EvoNB_3

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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="Dannyang/EvoNB_3")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("Dannyang/EvoNB_3")
model = AutoModelForMaskedLM.from_pretrained("Dannyang/EvoNB_3")
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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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