Instructions to use Hariharan79/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hariharan79/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="Hariharan79/test-model")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("Hariharan79/test-model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("Hariharan79/test-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15e729491a8d37ed4ddfac53cc4dbae9609138f6111cdf08e1ea156267410c25
- Size of remote file:
- 5.3 kB
- SHA256:
- 47df2c0f57bc43aa65d1c02b251bc283669747c2d2d8f7308aea6ca8af08ce42
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