splade-bert-tiny-nq

This is a SPLADE Sparse Encoder model trained on the natural-questions dataset using the sentence-transformers library. It maps sentences & paragraphs to a 30522-dimensional sparse vector space and can be used for semantic search and sparse retrieval. - **Maximum Sequence Length:** 512 tokens - **Output Dimensionality:** 30522 dimensions - **Similarity Function:** Dot Product - **Training Dataset:** - natural-questions - **Language:** en - **License:** apache-2.0 - **Documentation:** Sentence Transformers Documentation - **Documentation:** Sparse Encoder Documentation - **Repository:** Sentence Transformers on GitHub - **Hugging Face:** Sparse Encoders on Hugging Face

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