Instructions to use Salesforce/blip-vqa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-vqa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Salesforce/blip-vqa-base")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base") model = AutoModelForVisualQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64492e462ee9b947ac0c761f7b3d92ce0c3528395a762e9245129b012df8d6d5
- Size of remote file:
- 1.54 GB
- SHA256:
- d47763c493a03f5e10b6d6472b2a8d995c8cbb6d9a466eede3d033fafd94d5a4
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