MoritzLaurer/deberta-v3-base-mnli-fever-anli-ling-wanli-binary

🤗 Hugging Face sourcezero-shot-classificationmit184M params369 MBsafetensors✓ 4 checksumsupdated today

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-mnli-fever-anli-ling-wanli-binary ./model-folder

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Model description: deberta-v3-base-mnli-fever-anli-ling-wanli-binary

This model was mostly created as a comparative benchmark for another model, see here: https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33

This model was only trained on five NLI datasets, while the other model was trained on many more datasets. I mostly recommend using the other model. This NLI-only model might only be better for tasks that are not zeroshot classification but that adhere more strictly to the original NLI task.

See the other model's model card for usage instructions, training data and the paper.