---
license:
- mit
- other
license_link: https://github.com/Biohub/esm/blob/main/THIRD_PARTY_NOTICE.md
library_name: transformers
language: en
tags:
- biology
- esm
- protein
- protein-language-model
- protein-embeddings
- masked-language-modeling
- transfer-learning
- variant-effect-prediction
- protein-engineering
- transformers
---

The ESMC scaling-study checkpoints are being released to support reproducibility of the findings in our paper, please refer to [the paper](https://biohub.ai/papers/esm_protein.pdf) and [github](https://github.com/Biohub/esm) for details. Please use the [ESMC](https://huggingface.co/biohub/ESMC-6B) model for research work. ESMC is a state-of-the-art protein language model trained on billions of protein sequences that learns the rules of protein biology and provides representations for therapeutic protein engineering and basic biological insight.