Add LiteRT converted pvt_v2_b2

README.md

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+---
+library_name: litert
+base_model: timm/pvt_v2_b2.in1k
+tags:
+  - vision
+  - image-classification
+datasets:
+  - imagenet-1k
+---
+# pvt_v2_b2
+
+Converted TIMM image classification model for LiteRT.
+
+- Source architecture: `pvt_v2_b2`
+- Source checkpoint: `timm/pvt_v2_b2.in1k`
+- File: `model.tflite`
+- Input: `float32` tensor in NCHW layout, shape `[1, 3, 224, 224]`
+- Output: ImageNet-1K logits, shape `[1, 1000]`
+
+## Runtime Status
+
+- CPU smoke test: passed with LiteRT `CompiledModel`.
+- GPU delegation: currently blocked for this model by rank-5 tensor patterns in the GPU backend, mostly `RESHAPE`, `TRANSPOSE`, and related window/attention operations. The model is published as CPU-ready while GPU support is being improved.
+
+## Model Details
+
+- **Model Type:** Image classification / feature backbone
+- **Model Stats:**
+  - Params (M): 25.4
+  - GMACs: 4.0
+  - Activations (M): 27.5
+  - 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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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a0e6898f4d07fda3fea4d6c043f25d1cac0a2295a5de2dc0a4b93fbecc5d8a5
+size 101599392