Update README.md

README.md

@@ -111,4 +111,32 @@ pipeline_tag: text-classification
 ---
 ## Frequently Asked Questions classifier
 This model is trained to determine whether a question/statement is a FAQ, in the domain of products, businesses, website faqs, etc. 
-For e.g `"What is the warranty of your product?"` In contrast, daily questions such as `"how are you?"`, `"what is your name?"`, or simple statements such as `"this is a tree"`.
+For e.g `"What is the warranty of your product?"` In contrast, daily questions such as `"how are you?"`, `"what is your name?"`, or simple statements such as `"this is a tree"`.
+
+## Usage
+```python
+from transformers import pipeline
+classifier = pipeline("text-classification", "timpal0l/xlm-roberta-base-faq-extractor")
+label_map = {"LABEL_0" : False, "LABEL_1" : True}
+
+documents = ["What is the warranty for iPhone15?", 
+             "How old are you?", 
+             "Nice to meet you", 
+             "What is your opening hours?", 
+             "What is your name?", 
+             "The weather is nice"]
+
+predictions = classifier(documents)
+
+for p, d in zip(predictions, documents):
+    print(d, "--->", label_map[p["label"]])
+```
+
+```html
+What is the warranty for iPhone15? ---> True
+How old are you? ---> False
+Nice to meet you ---> False
+What is your opening hours? ---> True
+What is your name? ---> False
+The weather is nice ---> False
+```