Update README.md

README.md

@@ -37,7 +37,7 @@ This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2022-154m
 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/garrettbaber/twitter-fear-intensity
+$ 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/garrettbaber/twitter-roberta-base-fear-intensity
 ```
 
 Or Python API:
@@ -45,11 +45,20 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-fear-intensity")
+model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-roberta-base-fear-intensity")
 
-tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-fear-intensity")
+tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-roberta-base-fear-intensity")
 
 inputs = tokenizer("I'm scared", return_tensors="pt")
 
 outputs = model(**inputs)
-```
+```
+
+---
+citation: |
+  @misc{garrettbaber/twitter-roberta-base-fear-intensity,
+    title={Twitter RoBERTa Base Fear Intensity},
+    author={Garrett Baber},
+    year={2023}
+  }
+---