Update README.md

README.md

@@ -2,13 +2,13 @@
 tags: autonlp
 language: en
 widget:
-- text: "I love AutoNLP 🤗"
+- text: "@PressSec Response to Putin is laughable. He has Biden's number. He knows Biden can't hold up in a live debate, and the Chinese did a number on the U.S. too. Biden is making US the laughing stock of the world. We pay the price for a stolen election"
 datasets:
 - sefaozalpadl/autonlp-data-election_relevancy_analysis
 co2_eq_emissions: 1.3248523193990855
 ---
 
-# Model Trained Using AutoNLP
+# Election Fraud Binary Classifier
 
 - Problem type: Binary Classification
 - Model ID: 23315155
@@ -28,7 +28,7 @@ co2_eq_emissions: 1.3248523193990855
 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 AutoNLP"}' https://api-inference.huggingface.co/models/sefaozalpadl/autonlp-election_relevancy_analysis-23315155
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/sefaozalpadl/election_relevancy_best
 ```
 
 Or Python API:
@@ -36,9 +36,9 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/autonlp-election_relevancy_analysis-23315155", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("sefaozalpadl/election_relevancy_best", use_auth_token=True)
 
-tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/autonlp-election_relevancy_analysis-23315155", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("sefaozalpadl/election_relevancy_best", use_auth_token=True)
 
 inputs = tokenizer("I love AutoNLP", return_tensors="pt")