Update README.md

README.md

@@ -44,7 +44,6 @@ This model is a **ResNet-50** Convolutional Neural Network (CNN) finetuned to cl
 
 This model utilizes the standard ResNet-50 architecture designed for image classification. Instead of "reading" the text like an OCR system, it analyzes the visual layout, structure, and low-level texture features of a whole document page to determine its category (e.g., recognizing the block layout of a resume versus the dense, two-column text of a scientific report).
 
-It was trained using **Transfer Learning**, starting with weights pre-trained on ImageNet and finetuning the backbone while retraining the classification head for the 16 document classes.
 
 - **Developed by:** Arpit ([@arpit-gour02](https://huggingface.co/arpit-gour02))
 - **Model type:** Computer Vision (Image Classification / CNN)