Instructions to use hf-internal-testing/tiny-random-ViltForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViltForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-internal-testing/tiny-random-ViltForQuestionAnswering")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ViltForQuestionAnswering") model = AutoModelForVisualQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ViltForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fb5071d82e27bb4d70c0636d7e82775d40965eaef6c66de3b0849dac57955e2
- Size of remote file:
- 408 kB
- SHA256:
- ff4729a6141ee9df56b17f11a4049b6ccbc9231bc7bee18254df5e556f0d2eb3
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