Add LiteRT converted pvt_v2_b0

README.md

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+---
+library_name: litert
+base_model: timm/pvt_v2_b0.in1k
+tags:
+  - vision
+  - image-classification
+datasets:
+  - imagenet-1k
+---
+
+# pvt_v2_b0
+
+Converted TIMM image classification model for LiteRT.
+
+- Source architecture: pvt_v2_b0
+- File: model.tflite
+
+## Model Details
+
+- **Model Type:** Image classification / feature backbone
+- **Model Stats:**
+  - Params (M): 3.7
+  - GMACs: 0.6
+  - Activations (M): 8.0
+  - Image size: 224 x 224
+- **Papers:**
+  - PVT v2: Improved Baselines with Pyramid Vision Transformer: https://arxiv.org/abs/2106.13797
+- **Dataset:** ImageNet-1k
+- **Original:** https://github.com/whai362/PVT
+
+## Citation
+
+```bibtex
+@article{wang2021pvtv2,
+  title={Pvtv2: Improved baselines with pyramid vision transformer},
+  author={Wang, Wenhai and Xie, Enze and Li, Xiang and Fan, Deng-Ping and Song, Kaitao and Liang, Ding and Lu, Tong and Luo, Ping and Shao, Ling},
+  journal={Computational Visual Media},
+  volume={8},
+  number={3},
+  pages={1--10},
+  year={2022},
+  publisher={Springer}
+}
+```

model.tflite

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+oid sha256:6b136fa0e0ca416288809da3493cbc281987b7cb5b82ac8dad5a50da2ddf918d
+size 14791728