Update README.md

README.md

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 ## Model description
 
 [cdsBERT+](https://doi.org/10.1101/2023.09.15.558027) is pLM with a codon vocabulary that was seeded with [ProtBERT](https://huggingface.co/Rostlab/prot_bert_bfd) and trained with a novel vocabulary extension pipeline called MELD. cdsBERT+ offers a highly biologically relevant latent space with excellent EC number prediction surpassing ProtBERT.
+Specifically, this is the half-precision checkpoint after student-teacher knowledge distillation with Ankh-base.
 
 ## How to use
 
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 ## Intended use and limitations
-cdsBERT serves as a general-purpose protein language model with a codon vocabulary. Fine-tuning with Huggingface transformers models like BertForSequenceClassification enables downstream classification and regression tasks. Currently, the base capability enables feature extraction and mask filling.
+cdsBERT+ serves as a general-purpose protein language model with a codon vocabulary. Fine-tuning with Huggingface transformers models like BertForSequenceClassification enables downstream classification and regression tasks. Currently, the base capability enables feature extraction. The based checkpoint after MLM, cdsBERT, can conduct mask-filling.
 
 ## Our lab
 The [Gleghorn lab](https://www.gleghornlab.com/) is an interdisciplinary research group at the University of Delaware that focuses on solving translational problems with our expertise in engineering, biology, and chemistry. We develop inexpensive and reliable tools to study organ development, maternal-fetal health, and drug delivery. Recently we have begun exploration into protein language models and strive to make protein design and annotation accessible.