Instructions to use billyprodev/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billyprodev/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="billyprodev/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("billyprodev/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("billyprodev/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a64fea6ab72287df53363d649dd2d53bb26ceae589df86844b073be8bad961
- Size of remote file:
- 5.33 kB
- SHA256:
- aa0e85e88ecda19e17896552f450ad6a2339f87b2260edee9b4ca1e652f26366
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