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MoritzLaurer/deberta-v3-base-mnli-fever-anli-ling-wanli-binary
deberta-v3-base-mnli-fever-anli-ling-wanli-binary is a zero-shot classification model from MoritzLaurer. Use it when you need labels you did not train the model on. It is set up for transformers. The card lists the license as mit.
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
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From the Hugging Face model README
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.