Instructions to use loroxiv/docvqa-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loroxiv/docvqa-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="loroxiv/docvqa-test")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("loroxiv/docvqa-test") model = AutoModelForDocumentQuestionAnswering.from_pretrained("loroxiv/docvqa-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b862637118b745b361afae659c32425ccf4f3aac04a10328e0ca45756d165a78
- Size of remote file:
- 802 MB
- SHA256:
- e6c95182f05dea6cc7232086c82e5a10ab25f2e1734aba5bae27db36b759218d
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