Update README.md

README.md

@@ -8,7 +8,7 @@ library_name: timm
 
 # Model Card for Model ID
 
-Based on **quasi-linear hyperbolic systems of PDEs** [[Liu et al, 2023](https://github.com/liuyao12/ConvNets-PDE-perspective)], the QLNet enters an uncharted water of ConvNet model space marked by the use of (element-wise) multiplication instead of ReLU as the primary nonlinearity. It achieves comparable performance as ResNet50 on ImageNet-1k (acc=**78.4**), demonstrating that it has the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the community.
+Based on **quasi-linear hyperbolic systems of PDEs** [[Liu et al, 2023](https://github.com/liuyao12/ConvNets-PDE-perspective)], the QLNet enters uncharted waters of ConvNet model space marked by the use of (element-wise) multiplication instead of ReLU as the primary nonlinearity. It achieves comparable performance as ResNet50 on ImageNet-1k (acc=**78.4**), demonstrating that it has the same level of capacity/expressivity, and deserves more study (hyper-paremeter tuning, optimizer, etc.) by the community.
 
 
 ![](https://huggingface.co/liuyao/QLNet/resolve/main/QLNet.jpeg)
@@ -37,7 +37,7 @@ Instead of the `bottleneck` block of ResNet50 which consists of 1x1, 3x3, 1x1 in
 
 - **Repository:** [ConvNet from the PDE perspective](https://github.com/liuyao12/ConvNets-PDE-perspective)
 - **Paper:** [A Novel ConvNet Architecture with a Continuous Symmetry](https://arxiv.org/abs/2308.01621)
-- **Demo [optional]:** [More Information Needed]
+- **Demo:** [More Information Needed]
 
 ## How to Get Started with the Model