Instructions to use Mahmoud7/LayoutLMv3_diff_nu2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff_nu2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff_nu2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu2") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mahmoud7/LayoutLMv3_diff_nu2: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mahmoud7/LayoutLMv3_diff_nu2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu2/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- e95ea61a7650cfe6817d335bd5e6ecba2fbb068c1d4c45284f67603280662e90
- Size of remote file:
- 504 MB
- SHA256:
- bf03b50d38b04d492166e07861969edb29b12050988d813ada8ac521ee9b264d
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