Update README.md

README.md

@@ -43,3 +43,20 @@ This model is trained on MBAD Dataset to recognize the biased word/phrases in a
 | **Components** | `transformer`, `ner` |
 
 
+## Usage
+The easiest way is to load through the pipeline object offered by transformers library.
+```python
+!pip install https://huggingface.co/dreji18/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl
+
+# Using spacy.load().
+import spacy
+nlp = spacy.load("en_pipeline")
+
+# Importing as module.
+import en_pipeline
+nlp = en_pipeline.load()
+---
+
+## Author
+This model is part of the Research topic "Bias and Fairness in AI" conducted by Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset), please cite as:
+> Bias & Fairness in AI, (2020), GitHub repository, <https://github.com/dreji18/Fairness-in-AI/tree/dev>