Image Classification
LiteRT
LiteRT
ONNX
English
vision
botany
western-australia
dinov3
mixture-of-experts
adaround
fp8
int8
android
biodiversity
flora
Instructions to use thenukegun10x/PLantDetect-WA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use thenukegun10x/PLantDetect-WA 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
Commit History
-
Remove src/models/moe_swiglu_v2.py
Verified signature4656f95 -
Remove src/models/plant_vit_v2.py
Verified signature5026df9 -
Update src\models\subcenter_arcface.py
Verified signaturea19671a -
Update src\models\plant_vit_v2.py
Verified signature1f9a329 -
Update src\models\mricore_stem.py
Verified signature12db9dc -
Update src\models\mor_vit.py
Verified signature7198674 -
Update src\models\mor_cnn.py
Verified signature198a76d -
Update src\models\moe_vit.py
Verified signature2574ad2 -
Update src\models\moe_swiglu_v2.py
Verified signaturec7e99ed
-
Initial commit: Model Card, Species Index (999 spp), and Model Architecture
Verified signature3217f9a