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:
- eef87da1f5bc05da4c4a3b0b5f0d2a6f975533ca96dd0c7438ccb1f3ca7f8aad
- Size of remote file:
- 451 MB
- SHA256:
- b6c4cc95e4f53771e41d69137d0e58bdf252548b5c44eba54b7fd59f2566b0df
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