:sparkles: Add last VIT-S16 model

README.md

@@ -18,6 +18,8 @@ The code is based on [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-u
 ## List of models
 
 This repository contains:
+- for classification on ImageNet with ViTs: 4 ViTs-S/16 trained with label-smoothing coefficients in [0, 0.1, 0.2, 0.3]
+- for classification on ImageNet with ResNets: 4 ResNet-50 trained with label-smoothing coefficients in [0, 0.1, 0.2, 0.3]
 - for classification on CIFAR-100: one CE-based and one LS-based (LS coefficient 0.2) DenseNet 
 - for segmentation: one CE-based and one LS-based (LS coefficient 0.2) DeepLabv3+ Resnet-101 
 - for nlp: one CE-based and one LS-based (LS coefficient 0.6) LSTM-MLP

classification/imagenet1k/vit_s16_in1k_ls03.safetensors

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