Instructions to use stonesstones/vae_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stonesstones/vae_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="stonesstones/vae_test", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stonesstones/vae_test", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 381 Bytes
372980e | 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 | {
"auto_map": {
"AutoImageProcessor": "image_processing_vae.VAEImageProcessor"
},
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "VAEImageProcessor",
"image_size": [
64,
64
],
"image_std": [
0.5,
0.5,
0.5
],
"rescale_factor": 0.00392156862745098
}
|