Instructions to use pmorelr/layoutlm-doclaynet-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmorelr/layoutlm-doclaynet-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pmorelr/layoutlm-doclaynet-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pmorelr/layoutlm-doclaynet-binary") model = AutoModelForTokenClassification.from_pretrained("pmorelr/layoutlm-doclaynet-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8ea3f59566b10693f37f613dd17291f8492655dc5093ca302eb08d96fa26d42
- Size of remote file:
- 10.4 kB
- SHA256:
- 332ce451e08b5b01866bbf2da7267b02b585cbc8d9471b55f41452550236349c
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