Update README.md

README.md

@@ -10,14 +10,8 @@ license: apache-2.0
 language:
 - am
 - ti
-This is a RoBERTa-base model trained on ~124M tweets from January 2018 to December 2021, and finetuned for sentiment analysis with the TweetEval benchmark. The original Twitter-based RoBERTa model can be found here and the original reference paper is TweetEval. This model is suitable for Amharic and Tigriyna.
----from transformers import XLMRobertaTokenizer, XLMRobertaForSequenceClassification
-model_name = "Hailay/FT_EXLMR"
-tokenizer = XLMRobertaTokenizer.from_pretrained(model_name)
-model = XLMRobertaForSequenceClassification.from_pretrained(model_name)
-inputs = tokenizer("Your text here", return_tensors="pt")
-outputs = model(**inputs)
-------
+This is a RoBERTa-base model trained on ~124M tweets from January hugging face and finetuned for sentiment analysis with the TweetEval benchmark. The original Twitter-based RoBERTa model can be found here and the original reference paper is TweetEval. This model is suitable for Amharic and Tigriyna.
+
 
 # Model Card for Model ID
 Model Card Summary: Hailay/FT_EXLMR