Instructions to use fawern/blip-Visual-QuestionAnswering-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fawern/blip-Visual-QuestionAnswering-coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="fawern/blip-Visual-QuestionAnswering-coco")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("fawern/blip-Visual-QuestionAnswering-coco") model = AutoModelForVisualQuestionAnswering.from_pretrained("fawern/blip-Visual-QuestionAnswering-coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3ced59362fe67cc16aa4330ce19131248ccbe57ebab30282fce2da4a7a70539
- Size of remote file:
- 5.3 kB
- SHA256:
- 3fcaac4227fb91ed04f4a45b470c94de730d826e43f2ad1cff9ae1fe2af4d7c9
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