Instructions to use sh0KILLa/layoutlmv3-invoice-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sh0KILLa/layoutlmv3-invoice-parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sh0KILLa/layoutlmv3-invoice-parser")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("sh0KILLa/layoutlmv3-invoice-parser") model = AutoModelForTokenClassification.from_pretrained("sh0KILLa/layoutlmv3-invoice-parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 381b4229db9e9734e538f2d7105dc51475fa1f0478314791175415b8b02341b0
- Size of remote file:
- 5.27 kB
- SHA256:
- 768239aaf4b10bbaa0f880d70381c11c83768b0fbadd85bf9aaa9f5994cd884e
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