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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3b7504933cca473effd77c957c7bb1323cd50c7c86b024f543647721f8eff4e
- Size of remote file:
- 3.5 kB
- SHA256:
- 5ef40b7603366fc7ec8245d962cd5b02a3874ad0273933c5fc267480c3b2543d
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