Update README.md

README.md

@@ -6,7 +6,7 @@ language:
 - en
 pipeline_tag: text-classification
 ---
-# cardiffnlp/twitter-roberta-large-latest-tweet-topic
+# cardiffnlp/twitter-roberta-large-topic-latest
 
 This is a RoBERTa-large model trained on 154M tweets until the end of December 2022 and finetuned for topic classification (multilabel classification) on the _TweetTopic_ dataset of [SuperTweetEval](https://huggingface.co/datasets/cardiffnlp/super_tweeteval).
 The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-large-2022-154m).
@@ -42,7 +42,7 @@ The original Twitter-based RoBERTa model can be found [here](https://huggingface
 from transformers import pipeline
 text = "So @AB is just the latest victim of the madden curse. If you’re on the cover of that game your career will take a turn for the worse"
 
-pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-latest-tweet-topic", return_all_scores=True)
+pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-topic-latest", return_all_scores=True)
 predictions = pipe(text)[0]
 predictions = [x for x in predictions if x['score'] > 0.5]
 predictions