Some instructions

How to use the model as pipeline

README.md

@@ -8,3 +8,30 @@ widget:
 - text: "ואז הוא הלך לטייל בתוך היער השחור והגדול"
 
 ---
+## How to Use the model:
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier', return_all_scores=True)
+outputs = classifier("מסווג חתיך במיוחד")
+print(outputs)
+
+"""
+Output:
+[[
+{'label': 'Descriptive', 'score': 0.9996114373207092},
+{'label': 'Might Descriptive', 'score': 7.421540794894099e-05},
+{'label': 'Not Descriptive', 'score': 0.0003142959321849048}]]
+"""
+```
+#### Or, if you want only the final class:
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification",model='orisuchy/Descriptive_Classifier')
+output = classifier("הלכתי אליו הביתה וחיכיתי")
+print(output)
+
+"""
+Output:
+[{'label': 'Not Descriptive', 'score': 0.9998830556869507}]
+"""
+```