Download model/PXDesignBench/ColabDesign/colabdesign/esm_msa/pretrained.py from OneScience-Group/PXDesign: direct link, hf CLI and curl.
- Browser
- Download file 246 Bytes
-
https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/PXDesignBench/ColabDesign/colabdesign/esm_msa/pretrained.py
- Command line
-
hf download hf://OneScience-Group/PXDesign/model/PXDesignBench/ColabDesign/colabdesign/esm_msa/pretrained.py
-
curl -L -o pretrained.py https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/PXDesignBench/ColabDesign/colabdesign/esm_msa/pretrained.py
246 Bytes
| from colabdesign import esm_msa | |
| import joblib | |
| def get_model(): | |
| alphabet = esm_msa.Alphabet.from_architecture('msa_transformer') | |
| config = esm_msa.config.CONFIG | |
| model = esm_msa.RunModel(alphabet, config) | |
| return model, alphabet | |