Instructions to use Raghavan/ic17mlt_Fast_T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/ic17mlt_Fast_T with Transformers:
# Load model directly from transformers import FastForSceneTextRecognition model = FastForSceneTextRecognition.from_pretrained("Raghavan/ic17mlt_Fast_T", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 486 Bytes
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"bbox_type": "rect",
"crop_size": {
"height": 224,
"width": 224
},
"do_center_crop": false,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "FastImageProcessor",
"image_std": [
0.229,
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],
"min_area": 250,
"pooling_size": 9,
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 640,
"width": 640
}
}
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