Task
Zero Shot Classification
D
MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
Zero Shot Classification·MoritzLaurer· 63.8K· 127
transformers
mit
Zero Shot Classification
435.1M params
dataset:multi_nlidataset:facebook/anlidataset:feverdataset:lingnli
DeBERTa-v3-large-mnli-fever-anli-ling-wanli Model description This model was fine-tuned on the MultiNLI, Fever-NLI, Adversarial-NLI (ANLI), LingNLI and WANLI datasets, which comprise 885 242 NLI hypothesis-premise pairs. This model is the best performing NLI model on the Hugging Face Hub as of 06.06.22 and can be used for zero-shot classification. It significantly outperforms all other large mode
# pull & run locally
pip install mlforge-sdk && mlforge pull MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
pip install mlforge-sdk && mlforge pull MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
Model details
Provider
MoritzLaurer
Framework
transformers
Parameters
435.1M
Size
5.5 GB
License
mit
Downloads
63.8K
Likes
127
Paper
arXiv:2104.07179
Updated
2024-04-11
About MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
DeBERTa-v3-large-mnli-fever-anli-ling-wanli Model description This model was fine-tuned on the MultiNLI, Fever-NLI, Adversarial-NLI (ANLI), LingNLI and WANLI datasets, which comprise 885 242 NLI hypothesis-premise pairs. This model is the best performing NLI model on the Hugging Face Hub as of 06.06.22 and can be used for zero-shot classification. It significantly outperforms all other large models on the ANLI benchmark.
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