Instructions to use hf-internal-testing/tiny-random-DeformableDetrModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DeformableDetrModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-DeformableDetrModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 284 Bytes
0faac56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "DeformableDetrFeatureExtractor",
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"max_size": 1333,
"size": 800
}
|