Fill-Mask
Transformers
Safetensors
English
modernlayoutlm
document-understanding
layoutlm
modernbert
custom_code
Instructions to use kkuroma/ModernLayoutLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkuroma/ModernLayoutLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kkuroma/ModernLayoutLM", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kkuroma/ModernLayoutLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download performance.png from kkuroma/ModernLayoutLM: direct link, hf CLI and curl.
- Browser
- Download file 380 kB
-
https://huggingface.co/kkuroma/ModernLayoutLM/resolve/main/performance.png
- Command line
-
hf download hf://kkuroma/ModernLayoutLM/performance.png
-
curl -L -o performance.png https://huggingface.co/kkuroma/ModernLayoutLM/resolve/main/performance.png
380 kB

- Xet hash:
- 26d96b7ba31b4fa7bb987c7466e3462051e31aade420638466e1a3c4a99d3469
- Size of remote file:
- 380 kB
- SHA256:
- 17eb9a900d8b54655d1a520ed871573cc2369a97de7592017031bdd9c439360e
·
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