Zero-Shot Classification
Transformers
PyTorch
Safetensors
electra
text-classification
Inference Endpoints
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@@ -75,6 +75,7 @@ We report Matthew's Correlation Coefficient (MCC), macro-average F1-score as wel
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  | [`alexandrainst/scandi-nli-large`](https://huggingface.co/alexandrainst/scandi-nli-large) | **73.80%** | **58.41%** | **86.98%** | 354M |
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  | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 62.44% | 55.00% | 80.42% | 178M |
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  | `alexandrainst/scandi-nli-small` (this) | 47.28% | 48.88% | 73.46% | **22M** |
 
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  ## Training procedure
 
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  | [`alexandrainst/scandi-nli-large`](https://huggingface.co/alexandrainst/scandi-nli-large) | **73.80%** | **58.41%** | **86.98%** | 354M |
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  | [`alexandrainst/scandi-nli-base`](https://huggingface.co/alexandrainst/scandi-nli-base) | 62.44% | 55.00% | 80.42% | 178M |
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  | `alexandrainst/scandi-nli-small` (this) | 47.28% | 48.88% | 73.46% | **22M** |
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+ | [`joeddav/xlm-roberta-large-xnli`](https://huggingface.co/joeddav/xlm-roberta-large-xnli) | 49.18% | 50.31% | 69.73% | 560M |
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  ## Training procedure