Instructions to use SickBoy/layoutlm_documents with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SickBoy/layoutlm_documents with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SickBoy/layoutlm_documents")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("SickBoy/layoutlm_documents") model = AutoModelForTokenClassification.from_pretrained("SickBoy/layoutlm_documents", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SickBoy/layoutlm_documents: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/SickBoy/layoutlm_documents/resolve/main/training_args.bin
- Command line
-
hf download hf://SickBoy/layoutlm_documents/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/SickBoy/layoutlm_documents/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 8581397c7b8b3d7bf1f5e85933ced5192ab0d164447d53b76812adf79904573b
- Size of remote file:
- 3.38 kB
- SHA256:
- 8c1258d4a90525a33ef28f9d28157b53e726ce6f6126f5b58898fd45f8a751d2
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