Add a readme for the resnet example. (#1129)

README.md

@@ -166,6 +166,7 @@ If you have an addition to this list, please submit a pull request.
         - DINOv2.
         - ConvMixer.
         - EfficientNet.
+        - ResNet-18/34.
         - yolo-v3.
         - yolo-v8.
         - Segment-Anything Model (SAM).

candle-examples/examples/resnet/README.md

@@ -0,0 +1,19 @@
+# candle-resnet
+
+A candle implementation of inference using a pre-trained [ResNet](https://arxiv.org/abs/1512.03385).
+This uses a classification head trained on the ImageNet dataset and returns the
+probabilities for the top-5 classes.
+
+## Running an example
+
+```
+$ cargo run --example resnet --release -- --image tiger.jpg
+
+loaded image Tensor[dims 3, 224, 224; f32]
+model built
+tiger, Panthera tigris  : 90.21%
+tiger cat               : 8.93%
+lion, king of beasts, Panthera leo: 0.35%
+leopard, Panthera pardus: 0.16%
+jaguar, panther, Panthera onca, Felis onca: 0.09%
+```