Update README.md

README.md

@@ -13,7 +13,7 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: atahanuz/bert-classifier
+- name: atahanuz/bert-offensive-classifier
   results:
   - task:
       type: text-classification
@@ -55,7 +55,7 @@ The easiest way to use this model is via the Hugging Face `pipeline`.
 from transformers import pipeline
 
 # Initialize the pipeline
-classifier = pipeline("text-classification", model="atahanuz/bert-classifier")
+classifier = pipeline("text-classification", model="atahanuz/bert-offensive-classifier")
 
 # Predict
 text = "Bu harika bir filmdi, çok beğendim."
@@ -74,7 +74,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
 # 1. Load model and tokenizer
-model_name = "atahanuz/bert-classifier"
+model_name = "atahanuz/bert-offensive-classifier"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)