Instructions to use PrimWong/layout_lmqa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimWong/layout_lmqa2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="PrimWong/layout_lmqa2")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("PrimWong/layout_lmqa2") model = AutoModelForDocumentQuestionAnswering.from_pretrained("PrimWong/layout_lmqa2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 056e0be8dfb13b1591e1d9f93da06741ecd8f63509d073cbe9e9aace6f7b00d8
- Size of remote file:
- 4.6 kB
- SHA256:
- 0f934385d72dce76687a58fee89296316c530e76217be11b123cea70b030b680
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