Instructions to use Mahmoud7/LayoutLMv3_strat1_vnew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_strat1_vnew with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_strat1_vnew")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_strat1_vnew") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_strat1_vnew", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e44645bedb0314ccc8e512459c8b03b52fd759fc25bb6f552dcd1742538e56ea
- Size of remote file:
- 504 MB
- SHA256:
- 61ddf8b06e73183fd5f902a598d057886af3a68d357ab20d77627e141a0acd09
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