Instructions to use nouman-10/vqa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/vqa_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nouman-10/vqa_test")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("nouman-10/vqa_test") model = AutoModelForVisualQuestionAnswering.from_pretrained("nouman-10/vqa_test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad73728c76adb3b155d2fe6890a0603e765de7da31b09f2d6f48c4514e2c8766
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size 451234516
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