Hello,
I tried to submit using mounted hf model option according to the tutorial here
tira-cli code-submission --mount-hf-model tiiuae/falcon-7b google-t5/t5-large --path . --task generative-ai-authorship-verification-panclef-2025 --dataset pan25-generative-ai-detection-smoke-test-20250428-training --command "python /app/evaluate_tira.py --modelA tiiuae/falcon-7b --modelB google-t5/t5-large \$inputDataset/dataset.jsonl \$outputDir"
I have the models locally but the submission process get killed when it tries to load checkpoint shards. I suppose it happens because I am running on a machine without gpu and with small RAM – Is it a must to have the local hardware computability in order to do the code submission command?
The program is developed and tested on a cloud server where hardware is not a issue, however docker is not available there. Hence i have to do the tira submission on my local machine. Could you please offer any insight on this issue?
Thank you.
Best,
Joy