Instructions to use monuirctc/invoice-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monuirctc/invoice-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="monuirctc/invoice-extraction")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("monuirctc/invoice-extraction") model = AutoModelForTokenClassification.from_pretrained("monuirctc/invoice-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7786a7afd7ae4567368164ba303ae1db359e86369b9438ff6ffe7196364b040b
- Size of remote file:
- 802 MB
- SHA256:
- a82827a7ae78cbf9c527a5794a2413f4fca6fde6b4ec97558620049620037ce7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.