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alexandrainst
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scandi-nli-small

Zero-Shot Classification
Transformers
PyTorch
Safetensors
electra
text-classification
Inference Endpoints
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@@ -77,7 +77,7 @@ The Scandinavian scores are the average of the Danish, Swedish and Norwegian sco
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  | **Model** | **MCC** | **Macro-F1** | **Accuracy** | **Number of Parameters** |
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  | :-------- | :------------ | :--------- | :----------- | :----------- |
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- | [`alexandrainst/scandi-nli-large`](https://huggingface.co/alexandrainst/scandi-nli-large) | **73.70** | **74.44** | **83.91** | 354M |
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  | [`MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7`](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) | 69.01% | 71.99% | 80.66% | 279M |
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  | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 67.42% | 71.54% | 80.09% | 178M |
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  | [`joeddav/xlm-roberta-large-xnli`](https://huggingface.co/joeddav/xlm-roberta-large-xnli) | 64.17% | 70.80% | 77.29% | 560M |
 
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  | **Model** | **MCC** | **Macro-F1** | **Accuracy** | **Number of Parameters** |
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  | :-------- | :------------ | :--------- | :----------- | :----------- |
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+ | [`alexandrainst/scandi-nli-large`](https://huggingface.co/alexandrainst/scandi-nli-large) | **73.70%** | **74.44%** | **83.91%** | 354M |
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  | [`MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7`](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) | 69.01% | 71.99% | 80.66% | 279M |
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  | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 67.42% | 71.54% | 80.09% | 178M |
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  | [`joeddav/xlm-roberta-large-xnli`](https://huggingface.co/joeddav/xlm-roberta-large-xnli) | 64.17% | 70.80% | 77.29% | 560M |