Image Classification
Keras
LiteRT
TF-Keras
Safetensors
English
efficientnetv2-s
efficientnetv2
fgic
transfer-learning
gem-pooling
focal-loss
swa
grad-cam
calibration
temperature-scaling
computer-vision
tensorflow.js
Eval Results (legacy)
Instructions to use 0xgr3y/Arch-Building-Image-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 0xgr3y/Arch-Building-Image-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://0xgr3y/Arch-Building-Image-Classification") - Notebooks
- Google Colab
- Kaggle
Download results/confidence_per_class.png from 0xgr3y/Arch-Building-Image-Classification: direct link, hf CLI and curl.
- Browser
- Download file 66.3 kB
-
https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/confidence_per_class.png
- Command line
-
hf download hf://0xgr3y/Arch-Building-Image-Classification/results/confidence_per_class.png
-
curl -L -o confidence_per_class.png https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/confidence_per_class.png
66.3 kB
