Update README.md

README.md

@@ -24,9 +24,23 @@ widget:
 
 # Data Fields:
  
-**label**: 1 - it is a hate speech, 0 - not a hate speech
+**label**: 0 - it is a hate speech, 1 - not a hate speech
 
 # Application:
 * This model is useful for the detection of hatespeech in the tweets.
 * There are numerous situations where we have tweet data but no labels, so this approach can be used to create labels.
 * You can fine-tune this model for your particular use cases.
+
+# Model Implementation
+
+# !pip install transformers[sentencepiece]
+
+from transformers import pipeline
+
+model_name="Sakil/distilbert_lazylearner_hatespeech_detection"
+
+classifier = pipeline("text-classification",model=model_name)
+
+classifier("!!! RT @mayasolovely: As a woman you shouldn't complain about cleaning up your house. & as a man you should always take the trash out...")
+
+# Github: [Sakil Ansari](https://github.com/Sakil786/hate_speech_detection_pretrained_model)