prithivida
/

Splade_PP_en_v1

Feature Extraction

sentence-transformers

document-expansion

sparse representation

passage-retrieval

knowledge-distillation

document encoder

text-embeddings-inference

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prithivida commited on Feb 16, 2024

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@@ -17,7 +17,7 @@ library_name: transformers
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-# Independent Implementation of SPLADE++ Model (`a.k.a splade-cocondenser-ensembledistil and family`) for Industry a setting.
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 This work stands on the shoulders of the robust researches [Naver's From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective paper](https://arxiv.org/pdf/2205.04733.pdf) and [Google's SparseEmbed](https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/79f16d3b3b948706d191a7fe6dd02abe516f5564.pdf).

 pipeline_tag: fill-mask
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+# Independent Implementation of SPLADE++ Model (`a.k.a splade-cocondenser* and family`) for Industry a setting.
 --------------
 This work stands on the shoulders of the robust researches [Naver's From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective paper](https://arxiv.org/pdf/2205.04733.pdf) and [Google's SparseEmbed](https://storage.googleapis.com/gweb-research2023-media/pubtools/pdf/79f16d3b3b948706d191a7fe6dd02abe516f5564.pdf).