Instructions to use Sennodipoi/LayoutLMv3-FUNSD-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sennodipoi/LayoutLMv3-FUNSD-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sennodipoi/LayoutLMv3-FUNSD-ft")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Sennodipoi/LayoutLMv3-FUNSD-ft") model = AutoModelForTokenClassification.from_pretrained("Sennodipoi/LayoutLMv3-FUNSD-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e98ede4f873f28f3f6e761d8fb18ba783fcad4c5aab9a1ab793901aa4a97aaf0
- Size of remote file:
- 501 MB
- SHA256:
- d80b26bda9981bb0d551a5931576e64b7bfda5b51fb02742c257e845a0be1085
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