Update README.md

README.md

@@ -8,7 +8,7 @@ language:
 widget:
 - text: Aldığım hizmetten çok memnun kaldım... Yeniden göklerde görüşmek üzere...
 datasets:
-- tkurtulus/autotrain-data-tktktk
+- tkurtulus/thycomments
 co2_eq_emissions:
   emissions: 1.2718440164245879
 metrics:
@@ -42,7 +42,7 @@ pipeline_tag: text-classification
 You can use cURL to access this model:
 
 ```
-$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love to fly with Turkish Airlines"}' https://api-inference.huggingface.co/models/tkurtulus/Turkish-AI-rlines
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love to fly with Turkish Airlines"}' https://api-inference.huggingface.co/models/tkurtulus/Turkish-AI-rlines-SentimentAnalysis
 ```
 
 Or Python API:
@@ -50,9 +50,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/Turkish-AI-rlines", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/Turkish-AI-rlines-SentimentAnalysis", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("tkurtulus/Turkish-AI-rlines", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("tkurtulus/Turkish-AI-rlines-SentimentAnalysis", use_auth_token=True)
 
 inputs = tokenizer("I love to fly with Turkish Airlines", return_tensors="pt")