Update README.md

README.md

@@ -1,14 +1,14 @@
-# Hate Speech Classifier v1
+# Hate Speech Classification v1
 
 ## Overview
 
-The "Hate Speech Classifier v1" is a model designed to classify hate speech in text data. It has been trained on the "ucberkeley-dlab/measuring-hate-speech" dataset to effectively identify instances of hate speech.
+The "Hate Speech Classification v1" is a model designed to classify hate speech in text data. It has been trained on the "ucberkeley-dlab/measuring-hate-speech" dataset to effectively identify instances of hate speech.
 
 ## Usage
 
 ### Installation
 
-To use the "Hate Speech Classifier v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip:
+To use the "Hate Speech Classification v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip:
 
 ```bash
 pip install transformers
@@ -16,12 +16,12 @@ pip install transformers
 
 ### Usage
 
-You can load and use the "Hate Speech Classifier v1" in your Python code by following these steps:
+You can load and use the "Hate Speech Classification v1" in your Python code by following these steps:
 
 ```python
 from transformers import pipeline
 
-model = pipeline(model="moonstripe/hate_speech_classifier_v1")
+model = pipeline(model="moonstripe/hate_speech_classification_v1")
 model("Hello world")
 
 # Interpret the predictions to determine hate speech classification