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
Upload label_mapping.json with huggingface_hub
Browse files- label_mapping.json +2 -2
label_mapping.json
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"weight_decay": 2e-05,
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"focal_loss_gamma": 2.0,
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"weight_decay": 2e-05,
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"es_patience": 5,
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"augmentation": "Mixup+CutMix+standard",
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"label_smoothing": 0.1
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"warmup_epochs": 5,
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"es_patience": 5,
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"augmentation": "standard_only",
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"focal_loss_gamma": 2.0,
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"label_smoothing": 0.05,
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