['transformers', 'pytorch', 'roberta', 'text-classification', 'cryptocurrency', 'crypto', 'BERT', 'sentiment classification', 'NLP', 'bitcoin', 'ethereum', 'shib', 'social media', 'sentiment analysis', 'cryptocurrency sentiment analysis', 'en', 'autotrain_compatible', 'endpoints_compatible']