Visual Question Answering
Transformers
Safetensors
fga
visual-dialog
visdial
multimodal
attention
factor-graph-attention
Eval Results (legacy)
Instructions to use Idan/fga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Idan/fga")# Load model directly from transformers import FGAForVisualDialog model = FGAForVisualDialog.from_pretrained("Idan/fga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K