Instructions to use Idan/fga-vqa-trainval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Idan/fga-vqa-trainval 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-trainval")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Idan/fga-vqa-trainval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Drop the reference to the submission file
Verified signature1c3ac01 -
Remove the submission file; it is not ours to publish
Verified signature457a84d -
Model card
Verified signature689ee7f -
Predictions for all 244,302 test2015 questions
Verified signature3466984 -
Open-ended VQA trained on train2014 + val2014
Verified signatured214810 -
initial commit
Verified signaturee3290b5