Instructions to use Sharka/CIVQA_LayoutLMv2_EasyOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharka/CIVQA_LayoutLMv2_EasyOCR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Sharka/CIVQA_LayoutLMv2_EasyOCR")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Sharka/CIVQA_LayoutLMv2_EasyOCR") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Sharka/CIVQA_LayoutLMv2_EasyOCR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 643db6efb0994118a48881c3d7849feffe56e436cf493d477ce6ebef1ac4edb2
- Size of remote file:
- 5.77 MB
- SHA256:
- b1c42d72f87b12a90043fb5ae181b0e88678393730e36d9c9b77739d427564c7
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