Text Classification
Transformers
Safetensors
French
layoutlmv3
sequence-classification
document-layout-analysis
document-understanding
bulletin-officiel
french-government
sommaire
ocr
document-ai
private
Eval Results (legacy)
Instructions to use AvoCahDoe/sommaire-layoutlmv3-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AvoCahDoe/sommaire-layoutlmv3-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AvoCahDoe/sommaire-layoutlmv3-classifier")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("AvoCahDoe/sommaire-layoutlmv3-classifier") model = AutoModelForSequenceClassification.from_pretrained("AvoCahDoe/sommaire-layoutlmv3-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!