Aimlab
/

xlm-roberta-base-finetuned-urdu

Text Classification

Inference Endpoints

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Aimlab commited on Jul 25, 2022

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@@ -35,4 +35,7 @@ Here is how to use this model to get the label of a given text:
 >>> pipe = TextClassificationPipeline(model = model, tokenizer = tokenizer, top_k = 2, device = 0)
 >>> pipe(text)
 ```

 >>> pipe = TextClassificationPipeline(model = model, tokenizer = tokenizer, top_k = 2, device = 0)
 >>> pipe(text)
+[{'label': 'negative', 'score': 0.9987003803253174},
+ {'label': 'positive', 'score': 0.001299630501307547}]
 ```