Instructions to use yoon6173/vqa_finetuned_ok-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yoon6173/vqa_finetuned_ok-vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="yoon6173/vqa_finetuned_ok-vqa")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("yoon6173/vqa_finetuned_ok-vqa") model = AutoModelForVisualQuestionAnswering.from_pretrained("yoon6173/vqa_finetuned_ok-vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4846a225b32a3cd2c043b8f39ba34f6ecde24e1f6abce73696ac58903c2502fe
- Size of remote file:
- 4.6 kB
- SHA256:
- 34197c567a0c2986bcd3394c572fe2217e8f4ac12cebb73f3b03ac57955c3033
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