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@@ -60,12 +60,6 @@ The model has been trained using an efficient few-shot learning technique that i
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  | 1 | <ul><li>'Paris is in France'</li><li>'Time != Money'</li><li>'TBA - to be announced'</li></ul> |
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  | 0 | <ul><li>'Food delivery'</li><li>'She was not aware of the birds'</li><li>'The Eiffel Tower'</li></ul> |
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- ## Evaluation
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-
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- ### Metrics
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- | Label | Accuracy |
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- |:--------|:---------|
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- | **all** | 0.9756 |
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  ## Uses
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  | 1 | <ul><li>'Paris is in France'</li><li>'Time != Money'</li><li>'TBA - to be announced'</li></ul> |
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  | 0 | <ul><li>'Food delivery'</li><li>'She was not aware of the birds'</li><li>'The Eiffel Tower'</li></ul> |
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  ## Uses
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