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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://0xgr3y/Arch-Building-Image-Classification") - Notebooks
- Google Colab
- Kaggle
Download results/augmentation_examples.png from 0xgr3y/Arch-Building-Image-Classification: direct link, hf CLI and curl.
- Browser
- Download file 2.73 MB
-
https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/augmentation_examples.png
- Command line
-
hf download hf://0xgr3y/Arch-Building-Image-Classification/results/augmentation_examples.png
-
curl -L -o augmentation_examples.png https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/augmentation_examples.png
2.73 MB

- Xet hash:
- 1af1daba288a1b1866b6d879288e00806832349aea1be60de5065cd79f715bcf
- Size of remote file:
- 2.73 MB
- SHA256:
- 3a51c20d97f2161a7845770a332953c44994d24ce65f427cad01d22c31b2a8fd
·
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