ADD : Contact

README.md

@@ -12,7 +12,7 @@ It was fine-tuned from [DePlot](https://huggingface.co/google/deplot), using kor
 deplot_kr은 google의 pix2struct 구조를 기반으로 한 한국어 image-to-data(텍스트 형태의 데이터 테이블) 모델입니다.
 [DePlot](https://huggingface.co/google/deplot) 모델을 한국어 차트 이미지-텍스트 쌍 데이터세트(30만 개)를 이용하여 fine-tuning 했습니다.
 
-## How to use
+## **How to use**
 
 You can run a prediction by input an image.    
 Model predict the data table of text form in the image.    
@@ -39,12 +39,8 @@ print(processor.batch_decode(deplot_generated_ids, skip_special_token=True)[0])
 ```
 
 
-
-### Training data
-
 ### Preprocessing
 
-[Liu et al.(2023)](https://arxiv.org/pdf/2212.10505.pdf) 에 따라,   
 According to [Liu et al.(2023)](https://arxiv.org/pdf/2212.10505.pdf)...     
 
 - markdown format
@@ -63,6 +59,10 @@ The model was trained in a TPU environment.
 This model achieves the following results:
 
 |metrics name | % |
-|:---:|:---:|
+|:---|---:|
 | RNSS (Relative Number Set Similarity)| 99.5483 |
-| RMS F1 (Relative Mapping Similarity)| 16.6401 |
+| RMS F1 (Relative Mapping Similarity)| 16.6401 |
+
+## Contact
+
+For questions and comments, please use the discussion tab or email gloria@brainventur.com

cpu_deplot_70.pt

@@ -1,3 +0,0 @@
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