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:
- a6d3919ac9cbafc3343f1c30577fe26740337741f5f23529db68ce3cf8808ecd
- Size of remote file:
- 2.99 kB
- SHA256:
- 0cdf580c1f3b951a11db2c4d0c05fefedda4d3a05c106601c9ee99f8b06e1830
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