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 from transformers import pipeline pipe = pipeline("visual-question-answering", model="Idan/fga-vqa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Idan/fga-vqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e700adf0b229a229ab520d86aef07c15bcc6d257fd2d301cc005e57d25915bc9
- Size of remote file:
- 236 MB
- SHA256:
- 2a7744ec245b9833bb7bae2cd86c2a7a317d284ca8171c1c9d9413dc812f04bc
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