Instructions to use Idan/fga-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga-vqa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="Idan/fga-vqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Idan/fga-vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Open-ended is the recommended VQA model
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Replace with the open-ended model
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Multiple-choice VQA v1 model
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initial commit
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