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 tflite/model.tflite from 0xgr3y/Arch-Building-Image-Classification: direct link, hf CLI and curl.
- Browser
- Download file 92.7 MB
-
https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/tflite/model.tflite
- Command line
-
hf download hf://0xgr3y/Arch-Building-Image-Classification/tflite/model.tflite
-
curl -L -o model.tflite https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/tflite/model.tflite
92.7 MB
- Xet hash:
- 23cd63c2bd30fa4716d4d2280e6ae220ed05e19bfbc560c7c6e594d4276a43a6
- Size of remote file:
- 92.7 MB
- SHA256:
- 2547f252191e684569edc27f508e88f00fc1a984f48999192178635415221268
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