AmelieSchreiber
/

esm2_t6_8M_general_binding_sites_v2

Token Classification

protein language model

Inference Endpoints

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AmelieSchreiber commited on Sep 6, 2023

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 # ESM-2 for General Protein Binding Site Prediction
 This model is trained to predict general binding sites of proteins using only the sequence. This is a finetuned version of
-`esm2_t6_8M_UR50D`, trained on [this dataset](https://huggingface.co/datasets/AmelieSchreiber/general_binding_sites). The data is
 not filtered by family, and thus the model may be overfit to some degree. In the Hugging Face Inference API widget to the right
 there are three protein sequence examples. The first is a DNA binding protein truncated to the first 1022 amino acid residues
 ([see UniProt entry here](https://www.uniprot.org/uniprotkb/D3ZG52/entry)).

 # ESM-2 for General Protein Binding Site Prediction
 This model is trained to predict general binding sites of proteins using only the sequence. This is a finetuned version of
+`esm2_t6_8M_UR50D` ([see here](https://huggingface.co/facebook/esm2_t6_8M_UR50D) and [also here](https://huggingface.co/docs/transformers/model_doc/esm)
+for more info on the base model), trained on [this dataset](https://huggingface.co/datasets/AmelieSchreiber/general_binding_sites). The data is
 not filtered by family, and thus the model may be overfit to some degree. In the Hugging Face Inference API widget to the right
 there are three protein sequence examples. The first is a DNA binding protein truncated to the first 1022 amino acid residues
 ([see UniProt entry here](https://www.uniprot.org/uniprotkb/D3ZG52/entry)).