Image Classification
LiteRT
LiteRT
ONNX
English
mobilenetv5
mobilenetv4
gemma-3
edge-ai
quantization
w4a8
int8
npu
qualcomm-snapdragon
google-tensor
geology
Instructions to use GeoStratum/quantification-MobileNetV5-V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use GeoStratum/quantification-MobileNetV5-V4 with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 390 Bytes
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message: "If you reference our Multi-Scale Tiling methodology, Edge architecture, or Snapdragon benchmarks in your academic research, please cite this repository."
authors:
- name: "GeoStratum"
title: "Lithotheque Edge AI Architecture: Multi-Scale Tiling and NPU Benchmarks"
date-released: 2026-04-12
url: "https://github.com/GeoStratum/lithotheque-edge-models"
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