Update README.md

README.md

@@ -34,7 +34,7 @@ co2_eq_emissions: 1.06099358268878
 You can use cURL to access this model:
 
 ```
-$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Il y a dans ce pays une fracture"}' https://api-inference.huggingface.co/models/mazancourt/autonlp-politics-sentence-classifier-23105051
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "Il y a dans ce pays une fracture"}' https://api-inference.huggingface.co/models/mazancourt/politics-sentence-classifier
 ```
 
 Or Python API:
@@ -44,7 +44,7 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 model = AutoModelForSequenceClassification.from_pretrained("mazancourt/autonlp-politics-sentence-classifier-23105051", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("mazancourt/autonlp-politics-sentence-classifier-23105051", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("mazancourt/politics-sentence-classifier", use_auth_token=True)
 
 inputs = tokenizer("Il y a dans ce pays une fracture", return_tensors="pt")