Update README.md

README.md

@@ -3,13 +3,17 @@ tags:
 - autotrain
 - text-classification
 language:
-- unk
+- tr
+- en
 widget:
-- text: "I love AutoTrain 🤗"
+- text: Aldığım hizmetten çok memnun kaldım... Yeniden göklerde görüşmek üzere...
 datasets:
 - tkurtulus/autotrain-data-tktktk
 co2_eq_emissions:
   emissions: 1.2718440164245879
+metrics:
+- accuracy
+pipeline_tag: text-classification
 ---
 
 # Model Trained Using AutoTrain
@@ -38,7 +42,7 @@ co2_eq_emissions:
 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 AutoTrain"}' https://api-inference.huggingface.co/models/tkurtulus/autotrain-tktktk-3023686751
+$ 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
 ```
 
 Or Python API:
@@ -46,11 +50,11 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/autotrain-tktktk-3023686751", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/Turkish-AI-rlines", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("tkurtulus/autotrain-tktktk-3023686751", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("tkurtulus/Turkish-AI-rlines", use_auth_token=True)
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("I love to fly with Turkish Airlines", return_tensors="pt")
 
 outputs = model(**inputs)
 ```