Instructions to use JSv4/layoutlmv2-finetuned-funsd-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSv4/layoutlmv2-finetuned-funsd-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JSv4/layoutlmv2-finetuned-funsd-test")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("JSv4/layoutlmv2-finetuned-funsd-test") model = AutoModelForTokenClassification.from_pretrained("JSv4/layoutlmv2-finetuned-funsd-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c82f61cb49f7fd5b5b6e07a8b219ceca52fda5802615e4831f00bbc708c13e8c
- Size of remote file:
- 802 MB
- SHA256:
- e2484fed0fb9e07d0fcdf72c11e70be1e1e85b021ec0607a4302991724f8cc8c
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