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.
endpoints_compatible ·689
transformers ·689
text-classification ·689
safetensors ·596
text-embeddings-inference ·518
en ·421
pytorch ·409
roberta ·384
tf ·284
autogenerated-modelcard ·213
