Add LiteRT converted coat_lite_tiny

README.md

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+---
+library_name: litert
+base_model: timm/coat_lite_tiny.in1k
+tags:
+  - vision
+  - image-classification
+datasets:
+  - imagenet-1k
+---
+
+# coat_lite_tiny
+
+Converted TIMM image classification model for LiteRT.
+
+- Source architecture: coat_lite_tiny
+- File: model.tflite
+
+## Model Details
+
+- **Model Type:** Image classification / feature backbone
+- **Model Stats:**
+  - Params (M): 5.7
+  - GMACs: 1.6
+  - Activations (M): 11.6
+  - Image size: 224 x 224
+- **Papers:**
+  - Co-Scale Conv-Attentional Image Transformers: https://arxiv.org/abs/2104.06399
+- **Dataset:** ImageNet-1k
+- **Original:** https://github.com/mlpc-ucsd/CoaT
+
+## Citation
+
+```bibtex
+@InProceedings{Xu_2021_ICCV,
+  author    = {Xu, Weijian and Xu, Yifan and Chang, Tyler and Tu, Zhuowen},
+  title     = {Co-Scale Conv-Attentional Image Transformers},
+  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
+  month     = {October},
+  year      = {2021},
+  pages     = {9981-9990}
+}
+```

model.tflite

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