Instructions to use seungwon12/layoutlm-document-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seungwon12/layoutlm-document-extract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="seungwon12/layoutlm-document-extract")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("seungwon12/layoutlm-document-extract") model = AutoModelForTokenClassification.from_pretrained("seungwon12/layoutlm-document-extract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 308e7d50d3aa037f0ca60c2a06c105e7923bc75e50232c97bc8dd6cee02ebaf3
- Size of remote file:
- 802 MB
- SHA256:
- 4b2a1e93296b09dbe2a3820a9c4f0608854e04735032614f90c9dba5624c9098
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