Instructions to use hf-internal-testing/tiny-random-DonutSwinModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DonutSwinModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-DonutSwinModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DonutSwinModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DonutSwinModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 321 Bytes
1b10654 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"crop_size": 32,
"do_align_long_axis": false,
"do_normalize": true,
"do_pad": true,
"do_resize": true,
"do_thumbnail": true,
"feature_extractor_type": "DonutFeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"resample": 2,
"size": 32
}
|