Token Classification
Transformers
Safetensors
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Instructions to use EslamAhmed/LayoutLMv3-DocLayNet-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EslamAhmed/LayoutLMv3-DocLayNet-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EslamAhmed/LayoutLMv3-DocLayNet-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("EslamAhmed/LayoutLMv3-DocLayNet-small") model = AutoModelForTokenClassification.from_pretrained("EslamAhmed/LayoutLMv3-DocLayNet-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 444 Bytes
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