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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8f564d1f7af7f4455f61af08e620d92e4a3784e3cbc8c8be2f72661fc5f646a
- Size of remote file:
- 1.54 GB
- SHA256:
- 9211c37923cf2ab5af71f3018e61dd035391783643575ac28e369459d95928ae
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