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")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu2") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e95ea61a7650cfe6817d335bd5e6ecba2fbb068c1d4c45284f67603280662e90
- Size of remote file:
- 504 MB
- SHA256:
- bf03b50d38b04d492166e07861969edb29b12050988d813ada8ac521ee9b264d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.