update

README.md

@@ -45,7 +45,7 @@ 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/Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128708
+$ 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/Sachinkelenjaguri/Sachinkelenjaguri/climate_sentiment_classifier
 ```
 
 Or Python API:
@@ -53,9 +53,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128708", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/climate_sentiment_classifier", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128708", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/climate_sentiment_classifier", use_auth_token=True)
 
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")