--- language: en widget: - text: Covid cases are increasing fast! datasets: - tweet_eval --- # Twitter-roBERTa-base for Sentiment Analysis Labels: 0 -> Negative; 1 -> Neutral; 2 -> Positive ## Example Pipeline ```python from transformers import pipeline sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path) sentiment_task("Covid cases are increasing fast!") ``` ``` [{'label': 'Negative', 'score': 0.7236}] ```