Instructions to use onlywone/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onlywone/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onlywone/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onlywone/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("onlywone/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from onlywone/layoutlm-funsd: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/onlywone/layoutlm-funsd/resolve/main/training_args.bin
- Command line
-
hf download hf://onlywone/layoutlm-funsd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/onlywone/layoutlm-funsd/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 8c7a12d2ee6d8909fd973d850b3c8ad824c2e4d426137b3a6a9ee9544fdcd55c
- Size of remote file:
- 3.96 kB
- SHA256:
- 4ba20c42d550dcdffd6165f813d3560973bc381b593c8b5139acfe7750f5f6a9
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