Instructions to use pmorelr/layoutlm-doclaynet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmorelr/layoutlm-doclaynet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pmorelr/layoutlm-doclaynet")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pmorelr/layoutlm-doclaynet") model = AutoModelForTokenClassification.from_pretrained("pmorelr/layoutlm-doclaynet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ff7050a405502a9f7af5658db0f617a83fe7001078f42d2d884ab54f84dd8bb
- Size of remote file:
- 451 MB
- SHA256:
- 249b3824ff46065a396e25472ad7389abd8325f4ea15de36c75f06f7926e1dd2
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