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 from transformers import pipeline pipe = pipeline("visual-question-answering", model="Idan/fga-vqa-trainval")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Idan/fga-vqa-trainval", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d93b0c4e28a226bcd14e3849a24fc982d2b1eeb1f2a085ca0bcb192b76930e71
- Size of remote file:
- 236 MB
- SHA256:
- 210226cb9b0b22986f2174fdfaee1ff77750a0710256e355a865476e9c55b59a
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