Instructions to use ProSSTHub/ProSST-Protein-Regress-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ProSSTHub/ProSST-Protein-Regress-Test with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
ProSST-Protein-Regress-Test
A ProSST adapter trained with ColabProSST.
This repository contains a SaprotHub/ColabProSST PEFT adapter and metadata for a ProSST downstream model. The task head is saved with the adapter, while the official ProSST backbone is loaded from AI4Protein/ProSST-2048.
Input Format
ColabProSST uses amino-acid tokenizer input_ids together with ProSST structure token ss_input_ids. ColabProSST does not use SaProt AA+3Di merged tokens.
Task
- Task type:
regression - Base model:
AI4Protein/ProSST-2048 - Structure vocabulary:
2048 - Artifact type:
LoRA / PEFT adapter
In ColabProSST, choose Hugging Face repository as the model source and
enter TAVAT/ProSST-Protein-Regress-Test. The interface reads metadata.json, selects the matching
official ProSST base model, and validates the task and structure vocabulary.
Use saprot/scripts/predict_prosst.py from SaprotHub
to run prediction with this artifact outside the notebook.
Model tree for ProSSTHub/ProSST-Protein-Regress-Test
Base model
AI4Protein/ProSST-2048