Instructions to use bottles/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bottles/model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bottles/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 688 Bytes
c36bb31 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"image_width": 512,
"image_height": 512,
"database_path": "F:/Dataset/danbooru-family/danbooru-training-20211112.sqlite",
"minimum_tag_count": 20,
"model": "resnet_custom_v3",
"minibatch_size": 4,
"epoch_count": 32,
"export_model_per_epoch": 4,
"checkpoint_frequency_mb": 1000,
"console_logging_frequency_mb": 50,
"optimizer": "sgd",
"learning_rates": [
{
"used_epoch": 0,
"learning_rate": 5.0
}
],
"rotation_range": [
0.0,
360.0
],
"scale_range": [
0.9,
1.1
],
"shift_range": [
-0.1,
0.1
],
"mixed_precision": false
} |