Image Classification
LiteRT
LiteRT
timm
vision
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Add LiteRT converted eva_giant_patch14_560.m30m_ft_in22k_in1k

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  2. model.tflite +3 -0
README.md ADDED
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+ ---
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+ library_name: litert
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+ base_model: timm/eva_giant_patch14_560.m30m_ft_in22k_in1k
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+ license: mit
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+ tags:
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+ - vision
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+ - image-classification
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+ - timm
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+ datasets:
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+ - imagenet-1k
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+ ---
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+
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+ # eva_giant_patch14_560.m30m_ft_in22k_in1k
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+
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+ Converted TIMM image classification model for LiteRT.
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+
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+ - Source architecture: `eva_giant_patch14_560`
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+ - Source checkpoint: `timm/eva_giant_patch14_560.m30m_ft_in22k_in1k`
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+ - File: `model.tflite`
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+ - Runtime target: CPU only. GPU delegation is not expected for this converted file.
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+ - Input: `float32` tensor in NCHW layout, shape `[1, 3, 560, 560]`
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+ - Output: ImageNet-1K logits, shape `[1, 1000]`
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+ - Converted artifact size: 3.78 GiB
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+ - Weight storage: `buffer_offset`
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+
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+ ## Model Details
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+
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+ - **Model Type:** Image classification / feature backbone
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+ - **Model Stats:**
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+ - Params (M): 1014.4
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+ - GMACs: 1906.8
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+ - Activations (M): 2577.2
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+ - Image size: 560 x 560
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+ - **Papers:**
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+ - EVA: Exploring the Limits of Masked Visual Representation Learning at Scale: https://arxiv.org/abs/2211.07636
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+ - **Pretrain Dataset:**
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+ - Merged-30M
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+ - ImageNet-22k
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+ - **Dataset:** ImageNet-1k
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+ - **Original:**
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+ - https://github.com/baaivision/EVA
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+ - https://huggingface.co/BAAI/EVA
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{EVA,
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+ title={EVA: Exploring the Limits of Masked Visual Representation Learning at Scale},
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+ author={Fang, Yuxin and Wang, Wen and Xie, Binhui and Sun, Quan and Wu, Ledell and Wang, Xinggang and Huang, Tiejun and Wang, Xinlong and Cao, Yue},
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+ journal={arXiv preprint arXiv:2211.07636},
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+ year={2022}
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+ }
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+ ```
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+ ```bibtex
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+ @misc{rw2019timm,
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+ author = {Ross Wightman},
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+ title = {PyTorch Image Models},
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+ year = {2019},
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+ publisher = {GitHub},
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+ journal = {GitHub repository},
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+ doi = {10.5281/zenodo.4414861},
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+ howpublished = {\url{https://github.com/huggingface/pytorch-image-models}}
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+ }
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+ ```
model.tflite ADDED
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