Instructions to use ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files 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-all-files 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-all-files")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files") model = AutoModelForSequenceClassification.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot