Update README.md

README.md

@@ -79,28 +79,31 @@ Can be easily integrated into your existing spaCy-based NLP pipelines.
 Installation
 You can install the custom spaCy NER model using pip:
 
-'''
+```bash
 Copy code
-pip install your-ner-model-name
-Example Usage
+pip install https://huggingface.co/DaFull/en_ner_job_postings/resolve/main/en_ner_job_postings-any-py3-none-any.whl
+
+```
+#### Example Usage
 Here's how you can use the model for entity recognition in Python:
-'''
 
+```python
 
-python
-Copy code
 import spacy
 
 # Load the custom spaCy NER model
-nlp = spacy.load("your-ner-model-name")
+nlp = spacy.load("en_ner_job_postings")
 
 # Process your text
-text = "John Smith is a software engineer at ABC Corp, with over 10 years of experience."
+text = "HR Specialist needed at XYZ Corporation, Dallas, TX, with expertise in employee relations and a minimum of 4 years of HR experience."
 doc = nlp(text)
 
 # Extract named entities
 'for ent in doc.ents:
     print(f"Entity: {ent.text}, Type: {ent.label_}")
+
+```
+
 Entity Types
 The model recognizes the following entity types: