Instructions to use deviiiisss/layoutlmv3-finetuned-invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deviiiisss/layoutlmv3-finetuned-invoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deviiiisss/layoutlmv3-finetuned-invoice")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("deviiiisss/layoutlmv3-finetuned-invoice") model = AutoModelForTokenClassification.from_pretrained("deviiiisss/layoutlmv3-finetuned-invoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd1ee8e03f1bb83676ce1d5645ad7c204a77f31fa30b041448b174cb31324769
- Size of remote file:
- 4.79 kB
- SHA256:
- 55b402a6e415fa4085d18144b4f98c45dd5582d0c395c79f43dbdc7d539276c0
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