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
Download CITATION.cff from GeoStratum/quantification-MobileNetV5-V4: direct link, hf CLI and curl.
- Browser
- Download file 390 Bytes
-
https://huggingface.co/GeoStratum/quantification-MobileNetV5-V4/resolve/main/CITATION.cff
- Command line
-
hf download hf://GeoStratum/quantification-MobileNetV5-V4/CITATION.cff
-
curl -L -o CITATION.cff https://huggingface.co/GeoStratum/quantification-MobileNetV5-V4/resolve/main/CITATION.cff
390 Bytes
| cff-version: 1.2.0 | |
| 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" | |