Download NIMA/config_technical_gpu.json from hpotechius/ColorTransferLibModels: direct link, hf CLI and curl.
- Browser
- Download file 483 Bytes
-
https://huggingface.co/hpotechius/ColorTransferLibModels/resolve/5cc5ad4499a110bf2af45c8a7948e7f6c715ea51/NIMA/config_technical_gpu.json
- Command line
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hf download hf://hpotechius/ColorTransferLibModels@5cc5ad4499a110bf2af45c8a7948e7f6c715ea51/NIMA/config_technical_gpu.json
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curl -L -o config_technical_gpu.json https://huggingface.co/hpotechius/ColorTransferLibModels/resolve/5cc5ad4499a110bf2af45c8a7948e7f6c715ea51/NIMA/config_technical_gpu.json
483 Bytes
| { | |
| "train_env": "TID2013", | |
| "s3_bucket": "ds-hotel-image-assessment", | |
| "docker_image": "idealo/nima-gpu", | |
| "base_model_name": "MobileNet", | |
| "existing_weights": null, | |
| "n_classes": 10, | |
| "batch_size": 64, | |
| "epochs_train_dense": 25, | |
| "learning_rate_dense": 0.001, | |
| "decay_dense": 0, | |
| "epochs_train_all": 25, | |
| "learning_rate_all": 0.0000003, | |
| "decay_all": 0, | |
| "dropout_rate": 0.75, | |
| "multiprocessing_data_load": true, | |
| "num_workers_data_load": 8, | |
| "img_format": "bmp" | |
| } | |