Generate text embeddings for semantic tasks

Generate dense embeddings from text using pre-trained transformer models

Text embedding when you need semantic vectors that are domain-tuned or when you want pure open-source.

• · text strings
• · optional list of texts
• · optional batch size

• · embeddings (768/384/1536-dim)

• · sentence-transformers
• · torch
• · huggingface_hub

Python 3.7+; model name valid (e.g., 'all-MiniLM-L6-v2'); optional GPU for speed

Out-of-memory on large batches without batch size tuning; model download hangs on no internet

• · 50k+ GitHub stars
• · Apache 2.0 license
• · SBERT architecture pre-trained on 1B+ sentence pairs