ONNX Model Zoo

Kalray/resnet50v2

By Kalray · ↓ 0 · ♥ 0 · Updated 2024-09-09

What's in this repo

This page lists the files in Kalray/resnet50v2, including resnet50-v2-7s.onnx.

  • 1 ONNX models (.onnx files)
  • 3 files, including 1 .md, 1 .onnx
  • Last updated 2024-09-09

ONNX files

File Size Download
resnet50-v2-7s.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

Introduction

This repository stores the model for Resnet50v2, compatible with Kalray's neural network API. Please see www.github.com/kalray/kann-models-zoo for details and proper usage. Please see https://huggingface.co/docs/transformers/main/en/model_doc/resnet for Resnet model description.

Contents

  • ONNX: resnet50-v2-7s.onnx

Lecture note reference

  • Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf

Repository or links references

  • https://github.com/onnx/models/blob/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/resnet/model/resnet50-v2-7.onnx

BibTeX entry and citation info

@article{DBLP:journals/corr/HeZRS15,
  author       = {Kaiming He and
                  Xiangyu Zhang and
                  Shaoqing Ren and
                  Jian Sun},
  title        = {Deep Residual Learning for Image Recognition},
  journal      = {CoRR},
  volume       = {abs/1512.03385},
  year         = {2015},
  url          = {http://arxiv.org/abs/1512.03385},
  eprinttype    = {arXiv},
  eprint       = {1512.03385},
  timestamp    = {Wed, 25 Jan 2023 11:01:16 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/HeZRS15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Author: nbouberbachene@kalrayinc.com

Model info

onnx image-classification dataset:ILSVRC/imagenet-1k arxiv:1512.03385 license:apache-2.0 region:us
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Created: 2024-06-25

Updated: 2024-09-09

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Files (3)

.gitattributes
README.md
resnet50-v2-7s.onnx ONNX

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