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 temperature_config.json from 0xgr3y/Arch-Building-Image-Classification: direct link, hf CLI and curl.
- Browser
- Download file 137 Bytes
-
https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/temperature_config.json
- Command line
-
hf download hf://0xgr3y/Arch-Building-Image-Classification/temperature_config.json
-
curl -L -o temperature_config.json https://huggingface.co/0xgr3y/Arch-Building-Image-Classification/resolve/main/temperature_config.json
137 Bytes
| { | |
| "temperature": 0.46449432701083704, | |
| "ece_before": 0.18125913327648527, | |
| "ece_after": 0.009534640510460726, | |
| "method": "guo2017" | |
| } |