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Thank you again for your help in my previous issue. I can finally run the ProtST task on my cluster using one GPU. However, I need clarification about the command that you provided.
I want to predict a given protein sequence's function (GO terms). After running the following command, what do you think I should do to invoke the trained model and run the prediction? I appreciate your help in advance.
python4proc /script/run_downstream.py --config ./config/downstream_task/PretrainESM2/annotation_tune.yaml --checkpoint /work/cms16/sj52/scratch/esm-model-weights/esm2_t33_650M_UR50D.pt --dataset GeneOntology --branch BP
The text was updated successfully, but these errors were encountered:
Hi, the running command should be correct. And to use the ProtST-enhanced model, we just need to modify the augment in "--checkpoint" to the storage path of that ProtST-enhanced model.
As I commented in the previous issue (#5 (comment)). I'm now downloading ProtST-ESM2 checkpoint onto my current working cluster to test if there is any problem. I would come back to you once it's done.
Hello,
Thank you again for your help in my previous issue. I can finally run the ProtST task on my cluster using one GPU. However, I need clarification about the command that you provided.
I want to predict a given protein sequence's function (GO terms). After running the following command, what do you think I should do to invoke the trained model and run the prediction? I appreciate your help in advance.
python4proc /script/run_downstream.py --config ./config/downstream_task/PretrainESM2/annotation_tune.yaml --checkpoint /work/cms16/sj52/scratch/esm-model-weights/esm2_t33_650M_UR50D.pt --dataset GeneOntology --branch BP
The text was updated successfully, but these errors were encountered: