Update README.md
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README.md
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@@ -26,8 +26,8 @@ weight_decay = 0.01
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```
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# How to use:
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```
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model = AutoModelForTokenClassification.from_pretrained("
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tokenizer = AutoTokenizer.from_pretrained("
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ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
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ner("<your text here>")
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```
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```
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# How to use:
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```
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model = AutoModelForTokenClassification.from_pretrained("winvoker/bert-base-turkish-cased-ner-tf")
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tokenizer = AutoTokenizer.from_pretrained("winvoker/bert-base-turkish-cased-ner-tf")
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ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
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ner("<your text here>")
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```
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