Add release note for v1.3.0

Co-authored-by: Cursor <cursoragent@cursor.com>

LICENSE

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+MIT License
+
+Copyright (c) 2024 Jukka Seppänen
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+library_name: pytorch
+---
+![Florence2logo](resource/Florence2_base.png)
+
+Florence-2 is a unified vision foundation model that leverages prompt-based learning to perform a wide range of vision and vision-language tasks using a single architecture and training framework.
+
+Original paper: [Advancing a Unified Representation for a Variety of Vision Tasks](https://arxiv.org/abs/2311.06242)
+
+# Florence-2-base
+
+This model uses the Florence-2 Base variant, which provides a balance between accuracy and computational efficiency while supporting multiple tasks through natural language prompts. It is well suited for applications such as image captioning, visual question answering, object detection, grounding, and general-purpose vision understanding.
+
+Model Configuration:
+
+- Reference implementation: [Florence-2](https://github.com/microsoft/Florence-2)
+- Original Weight: [Florence-2-base](https://huggingface.co/microsoft/Florence-2-base)
+- Resolution: 3x768x768 (3x384x384 on CV75)
+- Support Cooper version:
+  - Cooper SDK: [2.5.4]
+  - Cooper Foundry: [2.3]
+
+
+|      Model      | Device |  compression  |                                            Model Link                                            |
+| :---------------: | :------: | :-------------: | :------------------------------------------------------------------------------------------------: |
+| Florence-2-base | N1-655 | 8-bit weights | [Model_Link](https://huggingface.co/Ambarella/Florence2/blob/main/n1-655_florence2_0.23B.tar.gz) |
+| Florence-2-base |  CV7  | 8-bit weights |  [Model_Link](https://huggingface.co/Ambarella/Florence2/blob/main/cv7_florence2_0.23B.tar.gz)  |
+| Florence-2-base |  CV72  | 8-bit weights |  [Model_Link](https://huggingface.co/Ambarella/Florence2/blob/main/cv72_florence2_0.23B.tar.gz)  |
+| Florence-2-base |  CV75  | 8-bit weights |  [Model_Link](https://huggingface.co/Ambarella/Florence2/blob/main/cv75_florence2_0.23B.tar.gz)  |

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