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---
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](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](https://github.com/castorini/anserini) SparseEncoder implementations. Based on advice this [github issue](https://github.com/naver/splade/issues/47).
```
python splade_pp_en_v2_to_onnx.py splade_pp_en_v2.onnx
```
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