EvanD
/

xlm-roberta-base-danish-ner-daner

Token Classification

named-entity-recognition

sequence-tagger-model

Inference Endpoints

Model card Files Files and versions Community

EvanD commited on Jan 3

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a392847

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1 Parent(s): 1ca6ce3

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@@ -24,7 +24,7 @@ tokenizer = AutoTokenizer.from_pretrained("EvanD/xlm-roberta-base-danish-ner-dan
 ner_model = AutoModelForTokenClassification.from_pretrained("EvanD/xlm-roberta-base-danish-ner-daner")
 nlp = pipeline("ner", model=ner_model, tokenizer=tokenizer, aggregation_strategy="simple")
-example = "Numele meu este Amadeus Wolfgang și locuiesc în Berlin"
 ner_results = nlp(example)
 print(ner_results)

 ner_model = AutoModelForTokenClassification.from_pretrained("EvanD/xlm-roberta-base-danish-ner-daner")
 nlp = pipeline("ner", model=ner_model, tokenizer=tokenizer, aggregation_strategy="simple")
+example = "Mit navn er Amadeus Wolfgang, og jeg bor i Berlin"
 ner_results = nlp(example)
 print(ner_results)