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
Update config.json
Browse files- config.json +3 -3
config.json
CHANGED
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@@ -33,7 +33,7 @@
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"split_seed": 42,
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"phases": [
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{
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"name": "Phase 1 - Feature Extraction",
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"optimizer": "AdamW",
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"lr": 0.001,
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"epochs_max": 25,
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}
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}
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},
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"version": "
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"license": "apache-2.0",
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"github": "https://github.com/arcxteam/arch-building-classifier",
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"author": {
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"name": "
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"email": "team@greyscope.xyz"
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}
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}
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"split_seed": 42,
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"phases": [
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{
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"name": "Phase 1 - Feature Extraction (Head)",
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"optimizer": "AdamW",
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"lr": 0.001,
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"epochs_max": 25,
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}
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}
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},
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"version": "v4",
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"license": "apache-2.0",
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"github": "https://github.com/arcxteam/arch-building-classifier",
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"author": {
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"name": "Saugani",
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"email": "team@greyscope.xyz"
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}
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}
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