Update README.md

README.md

@@ -22,16 +22,10 @@ library_name: transformers
 - **Operating System(s):** Linux
 
 # Model Details
-The official version of [deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR) restricts the transformers library to version 4.46.3 and has not been updated to support the latest release. In this community edition, the modeling_deepseekocr.py file has been updated for improved usability, and modeling_deepseekv2.py has been removed in favor of using the DeepSeekV2 model definitions provided by the transformers library, eliminating the need for downgrading transformers. Furthermore, by using [AMD-Quark](https://quark.docs.amd.com/latest/index.html) and following the commands below, you can obtain the perplexity value for the text-to-text generation component.
-```bash
-cd Quark/examples/torch/language_modeling/llm_ptq
+The official version of [deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR) restricts the transformers library to version 4.46.3 and has not been updated to support the latest release. In this community edition, the `modeling_deepseekocr.py` file has been updated for improved usability, and `modeling_deepseekv2.py` has been removed in favor of using the DeepSeekV2 model definitions provided by the transformers library, eliminating the need for downgrading transformers. 
 
-python3 quantize_quark.py \
-    --model_dir amd/DeepSeek-OCR \
-    --skip_quantization
-```
+This model can be quantized by using [AMD-Quark](https://quark.docs.amd.com/latest/index.html). The resulting quantized model is available at [amd/DeepSeek-OCR-MXFP4](https://huggingface.co/amd/DeepSeek-OCR-MXFP4).
 
-The quantized model based on this model: [amd/DeepSeek-OCR-MXFP4](https://huggingface.co/amd/DeepSeek-OCR-MXFP4)
 
 # Usage
 ```python