Update README.md

README.md

@@ -4,12 +4,19 @@ language:
 license: mit
 datasets:
 - cardiffnlp/super_tweeteval
-pipeline_tag: sentence-similarity
+pipeline_tag: text-classification
+inference:
+  parameters:
+    function_to_apply: none
+widget:
+- text: >-
+    Looooooool what is this story #TalksWithAsh </s> For someone who keeps
+    saying long story short, the story is quite long iyah #TalksWithAsh
 ---
 # cardiffnlp/twitter-roberta-large-similarity-latest
 
 This is a RoBERTa-large model trained on 154M tweets until the end of December 2022 and finetuned for tweet similarity (regression on two texts) on the _TweetSIM_ 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).
+The original Twitter-larged RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-large-2022-154m).
 
 ## Example
 ```python
@@ -25,8 +32,9 @@ text_2 = 'For someone who keeps saying long story short, the story is quite long
 
 text_input = f"{text_1} </s> {text_2}"
 
-model(**tokenizer(text_input, return_tensors="pt")).logits
->>tensor([[2.9565]])
+pipe = pipeline('text-classification', model=model, tokenizer=tokenizer, function_to_apply="none")
+pipe(text_input)
+>> [{'label': 'LABEL_0', 'score': 3.1845250129699707}]
 ```