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esm1b_ft_phosphosite_data_combined

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

pipe = pipeline("fill-mask", model="isikz/esm1b_ft_phosphosite_data_combined")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("isikz/esm1b_ft_phosphosite_data_combined")
model = AutoModelForMaskedLM.from_pretrained("isikz/esm1b_ft_phosphosite_data_combined", device_map="auto")
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Finetuning on Combined Phosphosite Data

ESM-1b is finetuned by Masked Language Modeling objective. The data is combination of phosphosite data which are used to train isikz/esm1b_msa_mlm_pt_phosphosite and isikz/esm1b_mlm_pt_phosphosite. The total number of data is 1055221.

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