Instructions to use BiliSakura/EUPE-ViT-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/EUPE-ViT-T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="BiliSakura/EUPE-ViT-T")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/EUPE-ViT-T", dtype="auto") - EUPE
How to use BiliSakura/EUPE-ViT-T with EUPE:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 399 Bytes
c7e26c1 | 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 | {
"do_resize": true,
"size": {
"height": 256,
"width": 256
},
"resample": 2,
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"do_convert_rgb": true,
"data_format": "channels_first",
"image_processor_type": "BaseImageProcessor"
}
|