0.3: Model Overview

Model type

1. Official pretrained SaProt (35M)
2. Official pretrained SaProt (650M)
3. Trained by yourself on ColabSaprot
4. Shared by peers on SaprotHub
5. Saved in your local computer
6. Multi-model on SaprotHub

Model type	Used for	Description	Input
Official pretrained SaProt (35M)	Training	Train a protein language model based on SaProt(35M) with your dataset	-
Official pretrained SaProt (650M)	Training	Train a protein language model based on SaProt(650M) with your dataset	-
Trained by yourself on ColabSaprot	Continually training, Prediction	Once you have completed training the model, select this option to use the model you have trained on ColabSaprot for continual training or prediction	Select the model from the dropdown menu
Shared by peers on SaprotHub	Continually training, Prediction	Use models shared on SaprotHub for continual training or prediction	Enter the model ID
Saved in your local computer	Continually training, Prediction	Use models saved on your local computer (.zip file which were saved when finishing training) for continual training or prediction	Upload the .zip file
Multi-models on SaprotHub	Prediction	Ensemble multiple models shared on SaprotHub for prediction. Each sample will be predicted using multiple models. Note that: For classification tasks, voting will be used to determine the final predicted category; for regression tasks, the predicted values from each model will be averaged.	Enter the model IDs

How to find a model on SaprotHub

1. Go to Official SaProtHub Repository to find some model based on your requirements.
2. Copy the Model ID for future use.