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New C++ DistilHuBERT Implementation Released

By PulseAugur Editorial · [1 sources] ·

A C++ implementation of the DistilHuBERT model, named hubert.cpp, has been developed. This implementation boasts no runtime dependencies, with its weights directly compiled into the library. It supports dynamic sizing and offers performance comparable to onnxruntime, making it easily integrable into CMake projects. AI

IMPACT Provides a more accessible and integrated way to use DistilHuBERT in C++ projects.

RANK_REASON This is a new implementation of an existing model, not a novel model release or significant research breakthrough. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New C++ DistilHuBERT Implementation Released

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This is a new implementation of an existing model, not a novel model release or significant research breakthrough. [lever_c_demoted from research: ic=1 ai=1.0]
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94 days old
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Competitive_Act5981 ·

    hubert.cpp, a C++ implementation of distilHuBERT [P]

    <!-- SC_OFF --><div class="md"><p>I've written a C++ implementation of distilHuBERT.</p> <p><a href="https://github.com/pfeatherstone/hubert.cpp">https://github.com/pfeatherstone/hubert.cpp</a></p> <p>It has no runtime dependencies, the weights are compiled into the library, it s…

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