Instructions to use Mahmoud7/LayoutLMv3_diff_nu3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff_nu3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff_nu3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu3") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mahmoud7/LayoutLMv3_diff_nu3: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mahmoud7/LayoutLMv3_diff_nu3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mahmoud7/LayoutLMv3_diff_nu3/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- 3140f522c7694950cbddefcca2e9b18b2cc8531915725b626735b874e308d1f2
- Size of remote file:
- 504 MB
- SHA256:
- ead3589da3afcb8d6523cdfdf211a7da9e1bfcf3ad3f55dbeefb430bd315dc44
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