RoBERTa sentence embeddings and transformers
34 repos
Transformer-based NLP models, primarily RoBERTa variants fine-tuned for sentence embedding tasks using different pooling strategies (mean, max, CLS token). These repositories focus on pre-trained language models compatible with the Hugging Face transformers library and PyTorch, with applications in semantic similarity and masked language modeling. The cluster represents modern approaches to generating dense vector representations from transformer encoders for downstream NLP tasks.
transformers ·120
endpoints_compatible ·120
roberta ·119
pytorch ·119
fill-mask ·116
safetensors ·73
korean ·66
klue ·66
en ·34
twitter ·34
