Instructions to use vfu/ccc_doc_vqa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vfu/ccc_doc_vqa_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="vfu/ccc_doc_vqa_test")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("vfu/ccc_doc_vqa_test") model = AutoModelForDocumentQuestionAnswering.from_pretrained("vfu/ccc_doc_vqa_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed7200b953707eb75d84ab5a1b69792d402798308193bf180a3e88e324a229ac
- Size of remote file:
- 802 MB
- SHA256:
- 87960d02e1cf3daf88845361d797f58a4ce1da25296414877bc2c8ba8e011eff
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