| import streamlit as st | |
| st.title("Info") | |
| with st.expander("ℹ️ - About this app", expanded=True): | |
| st.write( | |
| """ | |
| - This app performs named entity recognition for medical entities. | |
| - myDemo model was developed from dslim/distilbert-NER (a general NER model with 66M parameters) in HuggingFace, and fine-tuned on singh-aditya/MACCROBAT_biomedical_ner (a dataset annotated with medical entity labels in 41 categories). | |
| - The model uses the default pretrained tokenizer in dslim/distilbert-NER. | |
| """ | |
| ) | |