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@@ -50,3 +50,18 @@ Details:
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  | ORG | 0.821 | 0.816 | 0.818 | 28045 |
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  | Overall | 0.874 | 0.879 | 0.877 | 92307 |
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  | ORG | 0.821 | 0.816 | 0.818 | 28045 |
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  | Overall | 0.874 | 0.879 | 0.877 | 92307 |
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForTokenClassification
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+ from transformers import pipeline
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+
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+ tokenizer = AutoTokenizer.from_pretrained("gunghio/xlm-roberta-base-finetuned-panx-ner")
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+ model = AutoModelForTokenClassification.from_pretrained("gunghio/xlm-roberta-base-finetuned-panx-ner")
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+
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+ nlp = pipeline("ner", model=model, tokenizer=tokenizer)
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+ example = "My name is Wolfgang and I live in Berlin"
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+
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+ ner_results = nlp(example)
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+ print(ner_results)
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+ ```