---
title: esmfold_v1
canonical_url: "https://www.modelscope.cn/models/facebook/esmfold_v1"
md_url: "https://www.modelscope.cn/models/facebook/esmfold_v1.md"
repository: facebook/esmfold_v1
last_updated: 2025-05-20
license: mit
model_type:
  - esm
architectures:
  - EsmForProteinFolding
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 819
stars: 0
---

# esmfold_v1

> esmfold_v1 - facebook 在 ModelScope 开源的模型。ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone. It does not require any lookup or MSA step, and therefore does not require any external databases to be present in order to…

facebook/esmfold_v1 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: facebook/esmfold_v1
- **License**: mit
- **Downloads**: 819
- **Stars**: 0
- **Last updated**: 2025-05-20

Source: https://www.modelscope.cn/models/facebook/esmfold_v1

---

# ESMFold

ESMFold is a state-of-the-art end-to-end protein folding model based on an ESM-2 backbone. It does not require any lookup or MSA step, and therefore does not require any external databases to be present in order to make predictions. As a result, inference time is very significantly faster than AlphaFold2. For details on the model architecture and training, please refer to the [accompanying paper](https://www.science.org/doi/10.1126/science.ade2574).

If you're interested in using ESMFold in practice, please check out the associated [tutorial notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/protein_folding.ipynb).