Update README

README.md

@@ -0,0 +1,45 @@
+---
+license: mit
+tags:
+  - kornia
+  - image-classification
+  - backbone
+---
+
+# kornia/tiny_vit
+
+Pretrained weights for **TinyViT**,
+used as the encoder backbone in
+[`kornia.models.SegmentAnything`](https://kornia.readthedocs.io/en/latest/models.html)
+(MobileSAM) and available via
+[`kornia.models.TinyViT`](https://kornia.readthedocs.io/en/latest/models.html).
+
+TinyViT is a small Vision Transformer trained with knowledge distillation from large
+teacher models on ImageNet-22K. ECCV 2022.
+
+**Original repo:** [microsoft/Cream/TinyViT](https://github.com/microsoft/Cream/tree/main/TinyViT)
+
+## Weights
+
+| File | Params | Pre-training | Fine-tuning |
+|------|--------|-------------|-------------|
+| `tiny_vit_5m_22k_distill.pth` | 5M | ImageNet-22K | — |
+| `tiny_vit_5m_22kto1k_distill.pth` | 5M | ImageNet-22K | ImageNet-1K 224 |
+| `tiny_vit_11m_22k_distill.pth` | 11M | ImageNet-22K | — |
+| `tiny_vit_11m_22kto1k_distill.pth` | 11M | ImageNet-22K | ImageNet-1K 224 |
+| `tiny_vit_21m_22k_distill.pth` | 21M | ImageNet-22K | — |
+| `tiny_vit_21m_22kto1k_distill.pth` | 21M | ImageNet-22K | ImageNet-1K 224 |
+| `tiny_vit_21m_22kto1k_384_distill.pth` | 21M | ImageNet-22K | ImageNet-1K 384 |
+| `tiny_vit_21m_22kto1k_512_distill.pth` | 21M | ImageNet-22K | ImageNet-1K 512 |
+
+## Citation
+
+```bibtex
+@inproceedings{wu2022tinyvit,
+    title     = {{TinyViT}: Fast Pretraining Distillation for Small Vision Transformers},
+    author    = {Wu, Kan and Zhang, Jinnian and Peng, Houwen and Liu, Mengchen
+                 and Xiao, Bin and Fu, Jianlong and Yuan, Lu},
+    booktitle = {ECCV},
+    year      = {2022}
+}
+```