Instructions to use Mahmoud7/LayoutLMv3_diff_nu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff_nu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff_nu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mahmoud7/LayoutLMv3_diff_nu: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mahmoud7/LayoutLMv3_diff_nu/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- 21b902fca78f03c6ad49ff6835e0ea3ab84905f7f2ed4eb230c782396d9f6c33
- Size of remote file:
- 504 MB
- SHA256:
- 062b12ed25293092707e8aa6a8799057b87422546c7b241ce8eb6037160ff689
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