Added model usage.

README.md

@@ -4,6 +4,45 @@ A transformer-based model for named entity recognition for Polish.
 The model was trained on the NKJP corpus to recognize 12 categories of NEs.
 
 
+## Usage
+
+```bash
+conda create -n pdn2_demo python=3.8
+```
+
+```bash
+conda activate pdn2_demo
+```
+
+```bash
+https://pypi.clarin-pl.eu/packages/poldeepner2-0.8.2-py3-none-any.whl
+```
+
+```bash
+git clone https://huggingface.co/CodeNLP/pdn2_v08_nkjp_large
+```
+
+```python
+import poldeepner2
+
+ner = poldeepner2.load("pdn2_v08_nkjp_large", device="cpu")
+
+
+text = "Od 15 września 2023 roku premierem Łotwy jest Evika Siliņa"
+
+for an in ner.process_text(text):
+	print(f"[{an.start}:{an.end}] {an.text} ({an.label})")
+```
+
+Expected output:
+```
+[3:24] 15 września 2023 roku (date)
+[35:40] Łotwy (placeName_country)
+[46:58] Evika Siliņa (persName)
+[46:51] Evika (persName_forename)
+[52:58] Siliņa (persName_surname)
+```
+
 ## Author
 
 Michał Marcińczuk <marcinczuk@gmail.com>