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Other ORP type . 2020
License: http://www.opensource.org/licenses/Apache-2.0
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Other ORP type . 2020
License: http://www.opensource.org/licenses/Apache-2.0
Data sources: Datacite
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Other ORP type . 2020
License: http://www.apache.org/licenses/LICENSE-2.0
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License: http://www.apache.org/licenses/LICENSE-2.0
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MLPerf Inference MobileBERT Tensorflow Model on SQuAD v1.1 dataset

appsOther research productkeyboard_double_arrow_right Other ORP type 17 Jun 2020Publisher:Zenodo
Authors: Cheng, Christine;

doi: 10.5281/zenodo.3899483 , 10.5281/zenodo.3899484

MLPerf Inference MobileBERT Tensorflow Model on SQuAD v1.1 dataset

Abstract

Please read the readme.txt in the zip file for more information. There is no accuracy validation done with this model. Application: Question Answering ML Task: Language Framework: Tensorflow Training Information: readme.txt in the file Quality: NA Precision: FP32 Is Quantized: no Is ONNX: no Dataset: Squad v1.1 Version: MLPerf v0.7 Inference Keywords: Add the followings to keywords <Application>, <ML Task>, <Framework>, <Dataset>, <Training/Inference>, Pretrained Model

Keywords

Tensorflow, Inference, Application, Squad v1.1, Pretrained Model, Language

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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