Instructions to use Thastp/rf-detr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thastp/rf-detr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Thastp/rf-detr", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("Thastp/rf-detr", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 401 Bytes
910f956 b661790 910f956 b661790 910f956 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"auto_map": {
"AutoImageProcessor": "image_processing_rf_detr.RFDetrImageProcessor"
},
"config": {
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
]
},
"image_processor_type": "RFDetrImageProcessor",
"model_name": "RFDETRBase",
"post_process_config": {
"num_select": 300
}
}
|