Instructions to use Rocketknight1/tiny-random-deit-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rocketknight1/tiny-random-deit-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Rocketknight1/tiny-random-deit-tf")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("Rocketknight1/tiny-random-deit-tf") model = AutoModel.from_pretrained("Rocketknight1/tiny-random-deit-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
975366d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"crop_size": 224,
"do_center_crop": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "DeiTFeatureExtractor",
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"resample": 3,
"size": 256
}
|