Instructions to use MohishKhadse55/majorProject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohishKhadse55/majorProject with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MohishKhadse55/majorProject")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("MohishKhadse55/majorProject") model = AutoModelForVisualQuestionAnswering.from_pretrained("MohishKhadse55/majorProject") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba1e119b1af87801f2200eee01d262f599c07fdb92d4516f8a8778a0360e5d0d
- Size of remote file:
- 470 MB
- SHA256:
- 602dcaa1856b8c699b231df47d90cfe2e9861e35f25538e7328f59da85da150f
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