Update README.md

README.md

@@ -1,23 +1,28 @@
 ---
+language:
+- en
 license: mit
 datasets:
 - cardiffnlp/super_tweeteval
-language:
-- en
 pipeline_tag: text-classification
+inference:
+  parameters:
+    return_all_scores: True
+widget:
+- text: >-
+    I’m tired of being sick.. it’s been four days dawg
 ---
 # cardiffnlp/twitter-roberta-large-emoji-latest
 
 This is a RoBERTa-large model trained on 154M tweets until the end of December 2022 and finetuned for emoji classification (multiclass classification on 100 emojis) on the _TweetEmoji100_ 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
 from transformers import pipeline
 text= "I’m tired of being sick.. it’s been four days dawg"
 
-pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-emoji-latest")
-pipe(text)
+pipe = pipeline('text-classification', model="cardiffnlp/twitter-roberta-large-emoji-latest", return_all_scores=True))
 predictions = pipe(text)[0]
 predictions = sorted(predictions, key=lambda d: d['score'], reverse=True) 
 predictions[:5]