Instructions to use mathew/layoutlmv2-finetuned-funsd-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathew/layoutlmv2-finetuned-funsd-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mathew/layoutlmv2-finetuned-funsd-1024")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("mathew/layoutlmv2-finetuned-funsd-1024") model = AutoModelForTokenClassification.from_pretrained("mathew/layoutlmv2-finetuned-funsd-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d40d84b6fdae625670029e8b0c341676a55c9a4626896c87c9e90ade91e0c28
- Size of remote file:
- 2.93 kB
- SHA256:
- 3cbcd94cac4c9af2b7ada12d8ddd2bb50753e38affae78f719f58b5662231821
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