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Update README.md

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@@ -50,6 +50,24 @@ It achieves the following results on the evaluation set:
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  - F1: 0.9371
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  - Accuracy: 0.9859
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  ## Model description
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  More information needed
 
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  - F1: 0.9371
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  - Accuracy: 0.9859
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+ # Usage
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+ ```
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+ from transformers import pipeline
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+ import json
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+
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+ model_checkpoint = "./bert-finetuned-ner4"
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+ token_classifier = pipeline(
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+ "token-classification", model=model_checkpoint, aggregation_strategy="simple"
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+ )
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+
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+ with open('./assets/test2.json', 'r') as json_file:
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+ data = json.load(json_file)
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+
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+ for item in data:
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+ print(item)
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+ print(token_classifier(item))
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+ ```
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+
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  ## Model description
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  More information needed