Instructions to use Sennodipoi/LayoutLMv2-FUNSD-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sennodipoi/LayoutLMv2-FUNSD-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sennodipoi/LayoutLMv2-FUNSD-ft")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Sennodipoi/LayoutLMv2-FUNSD-ft") model = AutoModelForTokenClassification.from_pretrained("Sennodipoi/LayoutLMv2-FUNSD-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4d40f2e174999bdfde9703d1003744c381792cfc2cc6328c3b0c549643c1956
- Size of remote file:
- 802 MB
- SHA256:
- bb361a0f24f3332ad020ce6529e08c361f359d140a1bb83a024b7687513c7277
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