Update README.md

README.md

@@ -49,7 +49,7 @@ BioBERT based NER model for medical symptoms
 
 
 
-<b> <u> Model Description </u> </b>
+## Model Description 
 
 The model was trained on a combined maccrobat and i2c2 dataset and is based on biobert. If you use this model kindly cite the paper below:
 
@@ -61,17 +61,22 @@ Developing a BioBERT-based Natural Language Processing Algorithm for Acute Myelo
 
 <b> <u> How to use the Model </u> </b>
 
-<div class="boxed">
-!pip install https://huggingface.co/pmaitra/en_biobert_ner_symptom/resolve/main/en_biobert_ner_symptom-any-py3-none-any.whl
+## Model Usage
+The model can be used as a spacy library.
 
-import spacy
-nlp = spacy.load("en_biobert_ner_symptom")
+```python
 
-doc = nlp("He complained of dizziness and nausea during the Iowa trip.")
+>>> !pip install https://huggingface.co/pmaitra/en_biobert_ner_symptom/resolve/main/en_biobert_ner_symptom-any-py3-none-any.whl
+
+>>> import spacy
+>>> nlp = spacy.load("en_biobert_ner_symptom")
+
+>>> doc = nlp("He complained of dizziness and nausea during the Iowa trip.")
+
+>>> for ent in doc.ents: print(ent)
+
+```
 
-for ent in doc.ents:
- print(ent)
-</div>
 
 ### Accuracy