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 pytorch_model.bin from SickBoy/layoutlm_documents: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/SickBoy/layoutlm_documents/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SickBoy/layoutlm_documents/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SickBoy/layoutlm_documents/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 6ce74b30c26a5648f357c8e0f861998d5f52f8cf947286716f4ee26643e55e3a
- Size of remote file:
- 501 MB
- SHA256:
- 0f34e0ac3995c5a6ce2359620b523c8036fa1ca34e418c5be2ca65964f024f5d
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