Instructions to use artmiss/trashify-object-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artmiss/trashify-object-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="artmiss/trashify-object-detection-model")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("artmiss/trashify-object-detection-model") model = AutoModelForObjectDetection.from_pretrained("artmiss/trashify-object-detection-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 463 Bytes
b83d67c | 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 27 | {
"data_format": "channels_first",
"do_convert_annotations": true,
"do_normalize": false,
"do_pad": false,
"do_rescale": true,
"do_resize": true,
"format": "coco_detection",
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "RTDetrImageProcessorFast",
"image_std": [
0.229,
0.224,
0.225
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 640,
"width": 640
}
}
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