CAMeL-Lab
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bert-base-arabic-camelbert-mix-pos-egy

Token Classification

Inference Endpoints

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Go Inoue commited on Oct 17, 2021

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@@ -22,7 +22,7 @@ To use the model with a transformers pipeline:
 >>> pos = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy')
 >>> text = 'عامل ايه ؟'
 >>> pos(text)
-[{'entity': 'adj', 'score': 0.9972628, 'index': 1, 'word': 'عامل', 'start': 0, 'end': 4}, {'entity': 'pron_interrog', 'score': 0.9525163, 'index': 2, 'word': 'ايه', 'start': 5, 'end': 8}, {'entity': 'punc', 'score': 0.99869114, 'index': 3, 'word': '؟', 'start': 9, 'end': 1
 ```
 *Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models
 ## Citation

 >>> pos = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy')
 >>> text = 'عامل ايه ؟'
 >>> pos(text)
+[{'entity': 'adj', 'score': 0.9972628, 'index': 1, 'word': 'عامل', 'start': 0, 'end': 4}, {'entity': 'pron_interrog', 'score': 0.9525163, 'index': 2, 'word': 'ايه', 'start': 5, 'end': 8}, {'entity': 'punc', 'score': 0.99869114, 'index': 3, 'word': '؟', 'start': 9, 'end': 10}]
 ```
 *Note*: to download our models, you would need `transformers>=3.5.0`. Otherwise, you could download the models
 ## Citation