dslim
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bert-large-NER

Token Classification

Inference Endpoints

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Update README.md

#4

by rayanf - opened Sep 5, 2023

base: refs/heads/main

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@@ -57,8 +57,8 @@ 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("dslim/bert-large-NER")
+model = AutoModelForTokenClassification.from_pretrained("dslim/bert-large-NER")
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
 example = "My name is Wolfgang and I live in Berlin"