MoritzLaurer
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DeBERTa-v3-base-mnli

Zero-Shot Classification

text-classification

Inference Endpoints

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MoritzLaurer HF staff commited on Nov 11, 2021

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 # DeBERTa-v3-base-mnli-fever-anli
 ## Model description
 This model was trained on the MultiNLI dataset, which consists of 392 702 NLI hypothesis-premise pairs.
-The base model is [DeBERTa-v3-base from Microsoft](https://huggingface.co/microsoft/deberta-v3-base). The v3 variant of DeBERTa substantially outperforms previous versions of the model by including a different pre-training objective, see annex 11 of the original [DeBERTa paper](https://arxiv.org/pdf/2006.03654.pdf). For a more powerful model, check out [DeBERTa-v3-base-mnli-fever-anli (https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) which was trained on even more data.
 ## Intended uses & limitations
 #### How to use the model
 ```python

 # DeBERTa-v3-base-mnli-fever-anli
 ## Model description
 This model was trained on the MultiNLI dataset, which consists of 392 702 NLI hypothesis-premise pairs.
+The base model is [DeBERTa-v3-base from Microsoft](https://huggingface.co/microsoft/deberta-v3-base). The v3 variant of DeBERTa substantially outperforms previous versions of the model by including a different pre-training objective, see annex 11 of the original [DeBERTa paper](https://arxiv.org/pdf/2006.03654.pdf). For a more powerful model, check out [DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) which was trained on even more data.
 ## Intended uses & limitations
 #### How to use the model
 ```python