sociocom
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MedNER-CR-JA

Token Classification Transformers PyTorch Safetensors

Japanese bert NER medical documents Inference Endpoints

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socialcomp commited on Nov 3, 2023

Commit

61b6f64

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1 Parent(s): 4c64fb0

Update predict.py

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predict.py +1 -1

predict.py CHANGED Viewed

@@ -131,7 +131,7 @@ if __name__ == '__main__':
     sentences_raw = [s for s in re.split(r'\n', articles_raw) if s != '']
     sentences_norm = [s for s in re.split(r'\n', article_norm) if s != '']
-    text_entities_set = predict_entities("sociocom/RealMedNLP_CR_JA", [sentences_norm], len(id_to_tags))
     for i, texts_ent in enumerate(text_entities_set[0]):

     sentences_raw = [s for s in re.split(r'\n', articles_raw) if s != '']
     sentences_norm = [s for s in re.split(r'\n', article_norm) if s != '']
+    text_entities_set = predict_entities("sociocom/MedNER-CR-JA", [sentences_norm], len(id_to_tags))
     for i, texts_ent in enumerate(text_entities_set[0]):