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@@ -28,8 +28,8 @@ datasets:
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  ```python
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  >>> from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer, AuotoModelForSequenceClassification
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- >>> ner_model = AutoModelForTokenClassification.from_pretrained("ychenNLP/arabic-ner-ace-gigabert")
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- >>> ner_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-ner-ace-gigabert")
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  >>> ner_pip = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, grouped_entities=True)
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  >>> re_model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction")
 
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  ```python
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  >>> from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer, AuotoModelForSequenceClassification
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+ >>> ner_model = AutoModelForTokenClassification.from_pretrained("ychenNLP/arabic-ner-ace")
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+ >>> ner_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-ner-ace")
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  >>> ner_pip = pipeline("ner", model=ner_model, tokenizer=ner_tokenizer, grouped_entities=True)
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  >>> re_model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction")