Instructions to use henrydz/layoutlmv3-document-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henrydz/layoutlmv3-document-classification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henrydz/layoutlmv3-document-classification-v1")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("henrydz/layoutlmv3-document-classification-v1") model = AutoModelForSequenceClassification.from_pretrained("henrydz/layoutlmv3-document-classification-v1") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSequenceClassification
processor = AutoProcessor.from_pretrained("henrydz/layoutlmv3-document-classification-v1")
model = AutoModelForSequenceClassification.from_pretrained("henrydz/layoutlmv3-document-classification-v1")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henrydz/layoutlmv3-document-classification-v1")