Instructions to use impira/layoutlm-invoices with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impira/layoutlm-invoices with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="impira/layoutlm-invoices")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("impira/layoutlm-invoices") model = AutoModelForDocumentQuestionAnswering.from_pretrained("impira/layoutlm-invoices", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3bb461c08e48fca7a391d85a7dd4873dc8dcd7ed9764cef3281d8df107bc269
- Size of remote file:
- 511 MB
- SHA256:
- 6e540e17254272534b7868382a0fb05ddc693789938fa4bb2fc6aac29dbc0a83
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