Create README.md

README.md

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+---
+license: mit
+---
+---
+license: gpl-3.0
+datasets:
+- detection-datasets/coco
+---
+
+# Introduction
+
+This repository stores the model for YOLOv5m6 (TI Lite), compatible with Kalray's neural network API. </br>
+Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
+
+# Contents
+
+- ONNX:       yolov5m6.optimized.onnx
+
+# Lecture note reference
+
+
+# Repository or links references
+
+- repository: https://github.com/TexasInstruments/edgeai-yolov5/tree/main
+- configuration : https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/opt.yaml
+- weights: https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/weights/best.pt.link
+
+
+BibTeX entry and citation info
+```
+@software{yolov5,
+  title = {Ultralytics YOLOv5},
+  author = {Glenn Jocher},
+  year = {2020},
+  version = {7.0},
+  license = {AGPL-3.0},
+  url = {https://github.com/ultralytics/yolov5},
+  doi = {10.5281/zenodo.3908559},
+  orcid = {0000-0001-5950-6979}
+}
+```