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README.md
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tags:
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- BERT
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- Text Classification
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language: Arabic
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license: mit
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datasets:
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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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>>> re_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction
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>>> re_pip = pipeline("text-classification", model=re_model, tokenizer=re_tokenizer)
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def process_ner_output(entity_mention, input):
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tags:
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- BERT
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- Text Classification
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- relation
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language: Arabic
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license: mit
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datasets:
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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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>>> re_tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction")
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>>> re_pip = pipeline("text-classification", model=re_model, tokenizer=re_tokenizer)
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def process_ner_output(entity_mention, input):
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