Twitter NLP & Text Classification

12 repos

Pre-trained transformer models for analyzing tweets and social media text, covering sentiment, emotion, hate speech, offensive language, irony, and emoji interpretation. These repositories provide fine-tuned RoBERTa checkpoints and compatible inference endpoints built on PyTorch and JAX, enabling practitioners to quickly deploy text classification models optimized for the linguistic patterns and noise characteristics of social media.

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