A tiny BERT checkpoint for full-stack embedding tests
Hugging Face hosts stsb-bert-tiny-safetensors, a 4.39 million-parameter sentence encoder published by the sentence-transformers-testing organization. It converts sentences and paragraphs into 128-dimensional vectors for semantic search, clustering, similarity scoring, and pipeline tests.
The repository includes SafeTensors weights, a PyTorch checkpoint, tokenizer files, pooling configuration, and examples for both Sentence Transformers and raw Transformers. That complete package lets developers exercise the same loading, tokenization, inference, pooling, and similarity paths used by larger embedding models while reducing download size, memory use, and CPU work.