Instructions to use team-lucid/layoutlmv3-base-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/layoutlmv3-base-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="team-lucid/layoutlmv3-base-ko")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("team-lucid/layoutlmv3-base-ko") model = AutoModel.from_pretrained("team-lucid/layoutlmv3-base-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 293 Bytes
7cbd997 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"apply_ocr": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "LayoutLMv3FeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"ocr_lang": null,
"resample": 2,
"size": 224
} |