Add LiteRT converted fastvit_t8

README.md

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+---
+library_name: litert
+base_model: timm/fastvit_t8.apple_in1k
+tags:
+  - vision
+  - image-classification
+datasets:
+  - imagenet-1k
+---
+# fastvit_t8
+
+Converted TIMM image classification model for LiteRT.
+
+- Source architecture: `fastvit_t8`
+- Source checkpoint: `timm/fastvit_t8.apple_in1k`
+- File: `model.tflite`
+- Input: `float32` tensor in NCHW layout, shape `[1, 3, 256, 256]`
+- Output: ImageNet-1K logits, shape `[1, 1000]`
+
+## Model Details
+
+- **Model Type:** Image classification / feature backbone
+- **Model Stats:**
+  - Params (M): 4.0
+  - GMACs: 0.7
+  - Activations (M): 8.6
+  - Image size: 256 x 256
+- **Papers:**
+  - FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization: https://arxiv.org/abs/2303.14189
+- **Original:** https://github.com/apple/ml-fastvit
+- **Dataset:** ImageNet-1k
+
+## Citation
+
+```bibtex
+@inproceedings{vasufastvit2023,
+  author = {Pavan Kumar Anasosalu Vasu and James Gabriel and Jeff Zhu and Oncel Tuzel and Anurag Ranjan},
+  title = {FastViT:  A Fast Hybrid Vision Transformer using Structural Reparameterization},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
+  year = {2023}
+}
+```
+

model.tflite

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