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Esm2 T6 8M UR50D Sequence Classifier V1

Developed by AmelieSchreiber
A small sequence classifier trained based on the ESM-2 protein language model, capable of classifying protein sequences into three categories: enzymes, receptor proteins, and structural proteins.
Downloads 30
Release Time : 7/29/2023

Model Overview

This model is trained using facebook/esm2_t6_8M_UR50D and can classify protein sequences into three main categories: enzymes (class 0), receptor proteins (class 1), and structural proteins (class 2).

Model Features

Based on ESM-2 model
Trained using facebook/esm2_t6_8M_UR50D, belonging to the ESM-2 model series.
Synthetic data training
Trained on synthetic data generated by GPT-4, capable of classifying protein sequences.
Lightweight
Small model size (8M parameters), suitable for experimental and educational purposes.

Model Capabilities

Protein sequence classification
Zero-shot classification

Use Cases

Bioinformatics
Protein function prediction
Predict potential functional categories by classifying protein sequences.
Can classify protein sequences into enzymes, receptor proteins, and structural proteins.
Educational demonstration
Used for teaching and demonstrating the basic principles of protein sequence classification.
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