Update README.md

README.md

@@ -5,9 +5,9 @@ tags:
 language:
 - unk
 widget:
-- text: "I love AutoTrain"
+- text: "I'm scared"
 datasets:
-- garrettbaber/autotrain-data-twitter-fear-intensity-4
+- SemEval-2018-Task-1-Text-Regression-Task
 co2_eq_emissions:
   emissions: 0.17201402406362057
 ---
@@ -40,11 +40,11 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/autotrain-twitter-fear-intensity-4-68748137460", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-fear-intensity")
 
-tokenizer = AutoTokenizer.from_pretrained("garrettbaber/autotrain-twitter-fear-intensity-4-68748137460", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-fear-intensity")
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("I'm scared", return_tensors="pt")
 
 outputs = model(**inputs)
 ```