Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- ILSVRC/imagenet-1k
+pipeline_tag: image-classification
+---
+
+# Introduction
+
+This repository stores the model for Efficientnetlite-b4, compatible with Kalray's neural network API. </br>
+Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
+Please see https://huggingface.co/docs/transformers/main/en/model_doc/efficientnet for Efficientnet model description. </br>
+
+# Contents
+
+- ONNX:   efficientnet-lite4-s.nchw.onnx
+
+# Lecture note reference
+
+- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks, https://arxiv.org/pdf/1905.11946
+
+# Repository or links references
+
+- https://github.com/onnx/models/blob/main/vision/classification/efficientnet-lite4/model/efficientnet-lite4-11.onnx
+
+BibTeX entry and citation info
+```
+@article{DBLP:journals/corr/abs-1905-11946,
+  author       = {Mingxing Tan and
+                  Quoc V. Le},
+  title        = {EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks},
+  journal      = {CoRR},
+  volume       = {abs/1905.11946},
+  year         = {2019},
+  url          = {http://arxiv.org/abs/1905.11946},
+  eprinttype    = {arXiv},
+  eprint       = {1905.11946},
+  timestamp    = {Mon, 03 Jun 2019 13:42:33 +0200},
+  biburl       = {https://dblp.org/rec/journals/corr/abs-1905-11946.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+```
+
+Author: nbouberbachene@kalrayinc.com