Instructions to use arnaudstiegler/long-layoutlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnaudstiegler/long-layoutlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="arnaudstiegler/long-layoutlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("arnaudstiegler/long-layoutlm") model = AutoModelForMaskedLM.from_pretrained("arnaudstiegler/long-layoutlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c923c9133963d39d63b93d33b9fd8d4e840c304dd9cbb14228274c3d188b7f9
- Size of remote file:
- 549 MB
- SHA256:
- 5c39da7f4f19d492a30cc87706d2e066c1200762db4e3da8f8f5bb1b3259ff64
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