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
Add TFJS model (browser deployment)
Browse files- tfjs_model/group1-shard10of10.bin +3 -0
- tfjs_model/group1-shard1of10.bin +3 -0
- tfjs_model/group1-shard2of10.bin +3 -0
- tfjs_model/group1-shard3of10.bin +3 -0
- tfjs_model/group1-shard4of10.bin +3 -0
- tfjs_model/group1-shard5of10.bin +3 -0
- tfjs_model/group1-shard6of10.bin +3 -0
- tfjs_model/group1-shard7of10.bin +3 -0
- tfjs_model/group1-shard8of10.bin +3 -0
- tfjs_model/group1-shard9of10.bin +3 -0
- tfjs_model/model.json +0 -0
tfjs_model/group1-shard10of10.bin
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tfjs_model/group1-shard5of10.bin
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tfjs_model/group1-shard8of10.bin
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tfjs_model/model.json
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