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metadata
license: apache-2.0
language:
  - en
datasets:
  - ms_marco
tags:
  - splade++
  - document-expansion
  - sparse representation
  - bag-of-words
  - passage-retrieval
  - knowledge-distillation
  - document encoder
pretty_name: >-
  ONNX model for prithivida's Splade_PP_en_v2, an Independent Implementation of
  SPLADE++ Model with some efficiency tweaks for Industry setting.
base_model: prithivida/Splade_PP_en_v2

ONNX model for Splade_PP_en_v2

See https://huggingface.co/prithivida/Splade_PP_en_v2

This is just a script for onnx conversion, and an onnx model, with an output format that is compatible with the anserini SparseEncoder implementations. Based on advice this github issue.

python splade_pp_en_v2_to_onnx.py splade_pp_en_v2.onnx