Instructions to use Tornaid/LayoutLMv2_D3_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tornaid/LayoutLMv2_D3_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tornaid/LayoutLMv2_D3_Classifier")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Tornaid/LayoutLMv2_D3_Classifier") model = AutoModelForSequenceClassification.from_pretrained("Tornaid/LayoutLMv2_D3_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "apply_ocr": true, | |
| "do_resize": true, | |
| "image_processor_type": "LayoutLMv2FeatureExtractor", | |
| "ocr_lang": null, | |
| "processor_class": "LayoutLMv2Processor", | |
| "resample": 2, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "tesseract_config": "" | |
| } | |