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
Upload 4 files
Browse files- config.json +0 -1
- preprocessor_config.json +0 -1
config.json
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"initializer_range": 0.02,
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"loss_bg": false,
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"min_area": 250,
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"min_score": 0.88,
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"neck_dilation": [
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"initializer_range": 0.02,
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"loss_bg": false,
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"min_area": 250,
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"neck_dilation": [
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preprocessor_config.json
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"min_area": 250,
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"min_score": 0.88,
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"pooling_size": 9,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"min_area": 250,
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"pooling_size": 9,
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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