Angelakeke
/

RaTE-NER-Deberta

Token Classification

Model card Files Files and versions

Angelakeke commited on Nov 27, 2024

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@@ -114,7 +114,11 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)
 model.eval()
-texts = ['Status median sternotomy.']
 save_pair = run_ner(texts, idx2label, tokenizer, model, device)
  </code></pre>

 model.to(device)
 model.eval()
+We recommend to inference by sentences.
+text = ""
+texts = text.split('. ')
 save_pair = run_ner(texts, idx2label, tokenizer, model, device)
  </code></pre>