57 repos across 2 sub-areas
Transformer Models for Text Classification
30 repos
Text classification using transformer-based neural networks, particularly RoBERTa and LLaMA variants fine-tuned for sequence classification tasks. The cluster centers on pre-trained language models optimized for inference endpoints, with support for efficient serialization via safetensors and integration with Hugging Face's transformers ecosystem. Repositories span model checkpoints, inference infrastructure, and related NLP classification tooling.
Text Classification with Transformers
27 repos
Libraries, models, and tools for classifying text using transformer-based neural networks, particularly RoBERTa variants fine-tuned for specific tasks like sentiment analysis, emotion detection, hate speech identification, and emoji prediction. The cluster focuses on PyTorch and TensorFlow implementations compatible with the Hugging Face Transformers ecosystem, providing both pre-trained models and frameworks for building custom text classification pipelines.