This model exists mostly for research purposes.
It is essentially the same as MoritzLaurer/deberta-v3-base-zeroshot-v2.0
only that the training data from the 28 datasets/tasks used for evaluating the model were excluded.
The purpose of the model is to create true zeroshot metrics, by holding out the training data from the 28 datasets/tasks.
For most practical purposes MoritzLaurer/deberta-v3-base-zeroshot-v2.0
will be more useful as it has seen data from 28 additional tasks and will perfom better on most tasks.
Note that MoritzLaurer/deberta-v3-base-zeroshot-v2.0 only has seen training data for these 28 tasks, no test data.
MoritzLaurer/deberta-v3-base-zeroshot-v2.0-28heldout
Submit in one command
Run it next to your model folder. It makes the torrent, checks your files against Hugging Face, and submits it. You just start seeding and paste your key from your account. It only reads your files and never changes them. Read the script first if you like.
curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo MoritzLaurer/deberta-v3-base-zeroshot-v2.0-28heldout ./model-folder