Instructions to use usbmd/taesdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use usbmd/taesdxl with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("usbmd/taesdxl") - Notebooks
- Google Colab
- Kaggle
File size: 413 Bytes
7598a7e da25e6f 7598a7e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"module": "usbmd.models.taesd",
"class_name": "TinyAutoencoder",
"config": {
"name": "tiny_autoencoder",
"trainable": true,
"dtype": {
"module": "keras",
"class_name": "DTypePolicy",
"config": {
"name": "float32"
},
"registered_name": null
}
},
"registered_name": "TinyAutoencoder"
} |