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/tsne_embedding.png from 0xgr3y/Arch-Building-Image-Classification: direct link, hf CLI and curl.
- Browser
- Download file 246 kB
-
https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/tsne_embedding.png
- Command line
-
hf download hf://0xgr3y/Arch-Building-Image-Classification/results/tsne_embedding.png
-
curl -L -o tsne_embedding.png https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/results/tsne_embedding.png
246 kB

- Xet hash:
- 12e2f3ef647003ca7a45150dcb482b3a72aab2edf9dd4e3ab7caa1b8bf90b113
- Size of remote file:
- 246 kB
- SHA256:
- e7b223e6bd94aa7403bbf8bfa0173a856bade0526b2c8188c3d11e868031cc32
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