update to name

README.md

@@ -43,7 +43,7 @@ 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-climate-tcfd-recommendation
+$ 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/climate-tcfd-recommendation
 ```
 
 Or Python API:
@@ -51,9 +51,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/autotrain-climate-tcfd-recommendation", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/climate-tcfd-recommendation", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/autotrain-climate-tcfd-recommendation", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/climate-tcfd-recommendation", use_auth_token=True)
 
 inputs = tokenizer("I love AutoTrain", return_tensors="pt")