Update README.md


README.md

@@ -2,6 +2,17 @@
 library_name: transformers
 license: mit
 pipeline_tag: image-text-to-text
+datasets:
+- nvidia/OpenMathInstruct-2
+language:
+- ar
+metrics:
+- character
+base_model:
+- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+new_version: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
+tags:
+- art
 ---
 📢 [[Project Page](https://microsoft.github.io/OmniParser/)] [[Blog Post](https://www.microsoft.com/en-us/research/articles/omniparser-for-pure-vision-based-gui-agent/)] [[Demo](https://huggingface.co/spaces/microsoft/OmniParser/)] 
 
@@ -22,6 +33,4 @@ This model hub includes a finetuned version of YOLOv8 and a finetuned BLIP-2 mod
 - For OmniPaser-BLIP2, it may incorrectly infer the gender or other sensitive attribute (e.g., race, religion etc.) of individuals in icon images. Inference of sensitive attributes may rely upon stereotypes and generalizations rather than information about specific individuals and are more likely to be incorrect for marginalized people. Incorrect inferences may result in significant physical or psychological injury or restrict, infringe upon or undermine the ability to realize an individual’s human rights. We do not recommend use of OmniParser in any workplace-like use case scenario.
 
 # License
-Please note that icon_detect model is under AGPL license, and icon_caption_blip2 & icon_caption_florence is under MIT license. Please refer to the LICENSE file in the folder of each model. 
-
-
+Please note that icon_detect model is under AGPL license, and icon_caption_blip2 & icon_caption_florence is under MIT license. Please refer to the LICENSE file in the folder of each model.