Instructions to use vikp/text_recognizer_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/text_recognizer_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vikp/text_recognizer_test") model = AutoModel.from_pretrained("vikp/text_recognizer_test") - Notebooks
- Google Colab
- Kaggle
File size: 608 Bytes
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"do_align_long_axis": true,
"do_normalize": false,
"do_pad": false,
"do_rescale": false,
"do_resize": false,
"do_thumbnail": false,
"feature_extractor_type": "DonutFeatureExtractor",
"image_mean": [
0.5,
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],
"image_processor_type": "SuryaImageProcessor",
"image_std": [
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"max_size": {
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"width": 896
},
"patch_size": [
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],
"processor_class": "SuryaProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
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},
"train": true
}
|