Update README.md

README.md

@@ -5,9 +5,9 @@ tags:
 language:
 - en
 widget:
-- text: "I love AutoTrain"
+- text: "I am elated!"
 datasets:
-- garrettbaber/autotrain-data-twitter-roberta-base-joy-intensity
+- SemEval-2018-Task-1-Text-Regression-Task
 co2_eq_emissions:
   emissions: 0.03988347977318191
 ---
@@ -36,7 +36,7 @@ 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/autotrain-twitter-roberta-base-joy-intensity-72771139026
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I am elated!"}' https://api-inference.huggingface.co/models/garrettbaber/twitter-roberta-base-joy-intensity
 ```
 
 Or Python API:
@@ -44,11 +44,11 @@ Or Python API:
 ```
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/autotrain-twitter-roberta-base-joy-intensity-72771139026", use_auth_token=True)
+model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-roberta-base-joy-intensity")
 
-tokenizer = AutoTokenizer.from_pretrained("garrettbaber/autotrain-twitter-roberta-base-joy-intensity-72771139026", use_auth_token=True)
+tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-roberta-base-joy-intensity")
 
-inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+inputs = tokenizer("I am elated!", return_tensors="pt")
 
 outputs = model(**inputs)
 ```