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morit
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XLM-T-full-xnli

Zero-Shot Classification
Transformers
PyTorch
German
xlm-roberta
text-classification
Inference Endpoints
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@@ -42,7 +42,7 @@ using a GPU (NVIDIA GeForce RTX 3090)
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  # Evaluation
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  The model was evaluated on all the test sets of the xnli dataset resulting in the following accuracies:
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- | ar | bg | de | en | el | es | fr | hi| ru | sw | th | tr |ur | vi | zh |
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  |-----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|
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  | 0.749 | 0.787 | 0.774 | 0.774 | 0.831 | 0.796 | 0.785 | 0.734 | 0.761 | 0.701 | 0.757 | 0.758 | 0.704 | 0.778 | 0.774 |
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  # Evaluation
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  The model was evaluated on all the test sets of the xnli dataset resulting in the following accuracies:
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+ | ar | bg | de | el | en | es | fr | hi| ru | sw | th | tr |ur | vi | zh |
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  |-----|----|----|----|----|----|----|----|----|----|----|----|----|----|----|
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  | 0.749 | 0.787 | 0.774 | 0.774 | 0.831 | 0.796 | 0.785 | 0.734 | 0.761 | 0.701 | 0.757 | 0.758 | 0.704 | 0.778 | 0.774 |
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