Instructions to use KasperRH/Raiyan_Kasper_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KasperRH/Raiyan_Kasper_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="KasperRH/Raiyan_Kasper_Model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("KasperRH/Raiyan_Kasper_Model") model = AutoModelForObjectDetection.from_pretrained("KasperRH/Raiyan_Kasper_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from KasperRH/Raiyan_Kasper_Model: direct link, hf CLI and curl.
- Browser
- Download file 401 Bytes
-
https://huggingface.co/KasperRH/Raiyan_Kasper_Model/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://KasperRH/Raiyan_Kasper_Model/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/KasperRH/Raiyan_Kasper_Model/resolve/main/preprocessor_config.json
401 Bytes
| { | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "format": "coco_detection", | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "DetrImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 1333, | |
| "shortest_edge": 800 | |
| } | |
| } | |