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:
- aefd3f23fed92088066f2274b20a09b3ee26ce5b61644e8077e8f1590c14f47e
- Size of remote file:
- 3.96 kB
- SHA256:
- 277146f937dd54698843246a5813cf30032f30768ba78774b63e426d583ea560
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