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google/umt5-base fine-tuned for Vietnamese biomedical NER (plain text → inline tagged text) on En-ViMedNER.1from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
2
3repo = "nhuvo/umt5-base-en-vimedner-ner-vi"
4tok = AutoTokenizer.from_pretrained(repo)
5model = AutoModelForSeq2SeqLM.from_pretrained(repo)
6
7prefix = "recognize Vietnamese named entities: "
8text = "Bệnh nhân đái tháo đường típ 2 được tuyển vào nghiên cứu."
9inputs = tok(prefix + text, return_tensors="pt")
10outputs = model.generate(**inputs, max_new_tokens=256)
11print(tok.decode(outputs[0], skip_special_tokens=True))nhuvo/umt5-base-en-vimedner-ner-en