| import streamlit as st | |
| from transformers import AutoTokenizer, AutoModelForTokenClassification | |
| from transformers import pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl") | |
| model = AutoModelForTokenClassification.from_pretrained("Davlan/bert-base-multilingual-cased-ner-hrl") | |
| nlp = pipeline("ner", model=model, tokenizer=tokenizer) | |
| example = st.text_area("Enter text: ") | |
| if example: | |
| ner_results = nlp(example) | |
| st.json(ner_results) | |