Instructions to use MariaK/vilt_finetuned_200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MariaK/vilt_finetuned_200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MariaK/vilt_finetuned_200")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("MariaK/vilt_finetuned_200") model = AutoModelForVisualQuestionAnswering.from_pretrained("MariaK/vilt_finetuned_200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9507a83bba6b1e9fae996a15b1e77ffc8685ffa59d0afb3347999e96387d0ce4
- Size of remote file:
- 452 MB
- SHA256:
- 9b5baba6fde609a62c90e753c0558a26ad3fb01ee4ea297a0ddea994be11de56
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