RoBERTa Sentence Embeddings
20 repos
Fine-tuned RoBERTa models for generating sentence-level embeddings using various pooling strategies (CLS token, mean pooling, max pooling). These repositories provide pre-trained transformer-based endpoints compatible with standard NLP pipelines, built on PyTorch and Hugging Face Transformers. The cluster represents practical implementations of sentence representation learning, useful for semantic similarity, retrieval, and downstream NLP tasks.
transformers ·1,196
fill-mask ·1,196
endpoints_compatible ·1,196
roberta ·1,196
pytorch ·1,186
tf ·1,078
safetensors ·1,065
exbert ·985
en ·674
rust ·664
