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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce8371ae4266d38da959302b1983c594f031632ba3df37d742e5ed4dca2fd5f5
- Size of remote file:
- 4.03 kB
- SHA256:
- 418b02614e06a9597954846743beb04061aba0c5966c9cd46716b9cb43d20362
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