Instructions to use Noureddinesa/Output_LayoutLMv3_v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noureddinesa/Output_LayoutLMv3_v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noureddinesa/Output_LayoutLMv3_v7")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Noureddinesa/Output_LayoutLMv3_v7") model = AutoModelForTokenClassification.from_pretrained("Noureddinesa/Output_LayoutLMv3_v7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
96856a9
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Parent(s): 49b45e7
Training in progress, step 2000
Browse files
pytorch_model.bin
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