Transformers
Safetensors
English
esmfold2
biology
esm
protein
protein-structure-prediction
structure-prediction
protein-design
3d-structure
confidence-estimation
molecular-dynamics
Instructions to use Phsntom/ESMFold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Phsntom/ESMFold2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Phsntom/ESMFold2") model = AutoModel.from_pretrained("Phsntom/ESMFold2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/folding_evals.png from Phsntom/ESMFold2: direct link, hf CLI and curl.
- Browser
- Download file 122 kB
-
https://huggingface.co/Phsntom/ESMFold2/resolve/main/images/folding_evals.png
- Command line
-
hf download hf://Phsntom/ESMFold2/images/folding_evals.png
-
curl -L -o folding_evals.png https://huggingface.co/Phsntom/ESMFold2/resolve/main/images/folding_evals.png
122 kB

- Xet hash:
- b167e5559f2a71a459b04e66b8c8a4df7061fb936f81a1be3c18deb5752304f4
- Size of remote file:
- 122 kB
- SHA256:
- 207eeb14a3217cf31318bb8b50598a654def4119e34ef01a5a5ae848aacfca7c
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