Instructions to use ishdes/layoutlmv3-ehr-scanned-document-classification-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishdes/layoutlmv3-ehr-scanned-document-classification-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ishdes/layoutlmv3-ehr-scanned-document-classification-binary")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary") model = AutoModelForSequenceClassification.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary") - Notebooks
- Google Colab
- Kaggle
Upload LayoutLMv3ForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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