Instructions to use Gabby233/vqa-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gabby233/vqa-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Gabby233/vqa-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Gabby233/vqa-finetuned") model = AutoModelForVisualQuestionAnswering.from_pretrained("Gabby233/vqa-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67f0343323cc6c8b1714e2d5bf2c2edcbfb69f02564faa23236403af1eeb2858
- Size of remote file:
- 5.14 kB
- SHA256:
- 5e010bd3cb768542fbabedcc8c5dc3f052e00e81fc7b779adb3c1e8aba753f9f
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