Update README.md

README.md

@@ -19,7 +19,7 @@ This model will also be available in [CAMeL Tools](https://github.com/CAMeL-Lab/
 To use the model with a transformers pipeline:
 ```python
 >>> from transformers import pipeline
->>> pos = pipeline('text-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf')
+>>> pos = pipeline('token-classification', model='CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf')
 >>> text = 'شلونك ؟ شخبارك ؟'
 >>> pos(text)
 [{'entity': 'pron_interrog', 'score': 0.82657206, 'index': 1, 'word': 'شلون', 'start': 0, 'end': 4}, {'entity': 'prep', 'score': 0.9771731, 'index': 2, 'word': '##ك', 'start': 4, 'end': 5}, {'entity': 'punc', 'score': 0.9999568, 'index': 3, 'word': '؟', 'start': 6, 'end': 7}, {'entity': 'noun', 'score': 0.9977217, 'index': 4, 'word': 'ش', 'start': 8, 'end': 9}, {'entity': 'noun', 'score': 0.99993783, 'index': 5, 'word': '##خبار', 'start': 9, 'end': 13}, {'entity': 'prep', 'score': 0.5309442, 'index': 6, 'word': '##ك', 'start': 13, 'end': 14}, {'entity': 'punc', 'score': 0.9999575, 'index': 7, 'word': '؟', 'start': 15, 'end': 16}]