Instructions to use Mahmoud7/LayoutLMv3_diff_nu4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff_nu4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff_nu4")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu4") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50f8543fbc2916e6f08978812c8af80eadf3c8fd100b1f56b2ea3e3416beb9ba
- Size of remote file:
- 504 MB
- SHA256:
- 700fd3bd59df2ea3544a04771936811548521262adfff88e56d234f48f6bdba0
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