Instructions to use Noureddinesa/Output_LayoutLMv3_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noureddinesa/Output_LayoutLMv3_v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noureddinesa/Output_LayoutLMv3_v5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Noureddinesa/Output_LayoutLMv3_v5") model = AutoModelForTokenClassification.from_pretrained("Noureddinesa/Output_LayoutLMv3_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
02db26c
1
Parent(s): cb15027
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Apr08_14-31-51_ip-10-192-12-213/events.out.tfevents.1712586740.ip-10-192-12-213.23658.4
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