This model exists mostly for research purposes.
It is essentially the same as MoritzLaurer/deberta-v3-large-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-large-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-large-zeroshot-v2.0 only has seen training data for these 28 tasks, no test data.
MoritzLaurer/deberta-v3-large-zeroshot-v2.0-28heldout
一条命令提交
在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。
curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo MoritzLaurer/deberta-v3-large-zeroshot-v2.0-28heldout ./model-folder