Update README.md

README.md

@@ -3,6 +3,27 @@ tags:
 - fastai
 ---
 
+# ResNet
+
+ResNet model trained on imagenet-1k. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) and first released in [this repository](https://github.com/KaimingHe/deep-residual-networks). 
+
+Disclaimer: The team releasing ResNet did not write a model card for this model so this model card has been written by the Hugging Face team.
+
+## Model description
+
+ResNet introduced residual connections, they allow to train networks with an unseen number of layers (up to 1000). ResNet won the 2015 ILSVRC & COCO competition, one important milestone in deep computer vision.
+
+![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/resnet_architecture.png)
+
+## Intended uses & limitations
+
+You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=resnet) to look for
+fine-tuned versions on a task that interests you.
+
+### How to use
+
+
+
 from huggingface_hub import from_pretrained_fastai
 from fastai.vision.all import *
 def label_func(f): return f.name[:2]