Instructions to use Nani6264/layoutlmv3-personal-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nani6264/layoutlmv3-personal-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nani6264/layoutlmv3-personal-classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Nani6264/layoutlmv3-personal-classification") model = AutoModelForSequenceClassification.from_pretrained("Nani6264/layoutlmv3-personal-classification") - Notebooks
- Google Colab
- Kaggle
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