Instructions to use Bilgee/detr-finetuned-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bilgee/detr-finetuned-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Bilgee/detr-finetuned-v2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Bilgee/detr-finetuned-v2") model = AutoModelForObjectDetection.from_pretrained("Bilgee/detr-finetuned-v2") - Notebooks
- Google Colab
- Kaggle
File size: 455 Bytes
f3a63a5 970e618 f3a63a5 970e618 f3a63a5 970e618 f3a63a5 | 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 26 | {
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"feature_extractor_type": "DetrFeatureExtractor",
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "DetrFeatureExtractor",
"image_std": [
0.229,
0.224,
0.225
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"longest_edge": 1000,
"shortest_edge": 800
}
}
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