add deepseek-ocr-2

notebooks/deepseek-ocr/README.md

@@ -1,9 +1,24 @@
-# Document Parsing using DeepSeek-OCR and OpenVINO
+# Document Parsing using DeepSeek-OCR/DeepSeek-OCR-2 and OpenVINO
 
-DeepSeek-OCR, a VLM designed as a preliminary proof-of-concept for efficient vision-text compression.  DeepSeek-OCR consists of two components: DeepEncoder and DeepSeek3B-MoE-A570M as the decoder. Specifically, DeepEncoder serves as the core engine, designed to maintain low activations under high-resolution input while achieving high compression ratios to ensure an optimal and manageable number of vision tokens.
+## DeepSeek-OCR-2
+
+**DeepSeek-OCR-2** is an advanced vision-language model (VLM) designed for efficient and accurate document understanding and optical character recognition (OCR). Building upon the success of DeepSeek-OCR, version 2 introduces enhanced capabilities with a deep vision encoder and a mixture-of-experts decoder architecture. DeepSeek-OCR-2 employs innovative vision-text compression techniques to maintain high accuracy while ensuring manageable computational requirements for processing high-resolution documents.
+
+<img width="731" height="263" alt="image" src="https://github.com/user-attachments/assets/d2fb90cc-554b-4b6b-83eb-72ba7b1490d4" />
+
+
+More details can be found in the [paper](https://github.com/deepseek-ai/DeepSeek-OCR-2/blob/main/DeepSeek_OCR2_paper.pdf), original [repository](https://github.com/deepseek-ai/DeepSeek-OCR-2) and [model card](https://huggingface.co/deepseek-ai/DeepSeek-OCR-2).
+
+## DeepSeek-OCR
+
+**DeepSeek-OCR** is a VLM designed as a preliminary proof-of-concept for efficient vision-text compression. DeepSeek-OCR consists of two components: DeepEncoder and DeepSeek3B-MoE-A570M as the decoder. Specifically, DeepEncoder serves as the core engine, designed to maintain low activations under high-resolution input while achieving high compression ratios to ensure an optimal and manageable number of vision tokens.
+
+<img width="691" height="212" alt="image" src="https://github.com/user-attachments/assets/31581dac-fb64-4b21-a1ea-686d7f3191a3" />
 
 More details can be found in the [paper](https://arxiv.org/pdf/2510.18234), original [repository](https://github.com/deepseek-ai/DeepSeek-OCR) and [model card](https://huggingface.co/deepseek-ai/DeepSeek-OCR).
 
+---
+
 In this tutorial we consider how to convert and run DeepSeek-OCR models using [OpenVINO](https://github.com/openvinotoolkit/openvino) and optimize it using [NNCF](https://github.com/openvinotoolkit/nncf).
 
 ## Notebook contents
@@ -22,4 +37,9 @@ In this demonstration, you'll create interactive chatbot that can answer questio
 This is a self-contained example that relies solely on its own code.</br>
 We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
 For details, please refer to [Installation Guide](../../README.md).
+
+⚠️ **EXPERIMENTAL NOTEBOOK**
+
+This notebook demonstrates a model that has not been fully validated with OpenVINO. It may be fully supported and validated in the future.
+
 <img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=5b5a4db0-7875-4bfb-bdbd-01698b5b1a77&file=notebooks/deepseek-ocr/README.md" />