Instructions to use athisree/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athisree/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="athisree/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("athisree/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("athisree/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from athisree/layoutlm-funsd: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/athisree/layoutlm-funsd/resolve/main/training_args.bin
- Command line
-
hf download hf://athisree/layoutlm-funsd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/athisree/layoutlm-funsd/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 6beda8a95816d576af9fffd7d0538156eac4288f81b165c5b32c57d087d3f796
- Size of remote file:
- 3.52 kB
- SHA256:
- 93bbdffc2ad83f9a9be03813c77c118ecc1c56a7ab8473f24351de8a6b16cb8a
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