Tirendaz
/

roberta-base-NER

Token Classification

Eval Results (legacy)

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Tirendaz commited on Oct 26, 2023

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2c73bd5

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1 Parent(s): 874c5b1

Update README.md

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@@ -60,8 +60,8 @@ You can use this model with Transformers *pipeline* for NER.
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
-tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
-model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
 example = "My name is Wolfgang and I live in Berlin"

 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
+tokenizer = AutoTokenizer.from_pretrained("Tirendaz/roberta-base-NER")
+model = AutoModelForTokenClassification.from_pretrained("Tirendaz/roberta-base-NER")
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
 example = "My name is Wolfgang and I live in Berlin"