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