Instructions to use MariaK/vilt_finetuned_100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/vilt_finetuned_100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MariaK/vilt_finetuned_100")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("MariaK/vilt_finetuned_100") model = AutoModelForVisualQuestionAnswering.from_pretrained("MariaK/vilt_finetuned_100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f104116598ac0b970e754d31f39a3d0f49d473428c52d3fbf2e5e8dde4edff9
- Size of remote file:
- 3.96 kB
- SHA256:
- d7418b1cbf29b86cc509ce7a1af76eb1a8334fc717f5c7cb24a6660135c9e37d
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