Instructions to use Salesforce/blip-vqa-capfilt-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-vqa-capfilt-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Salesforce/blip-vqa-capfilt-large")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-capfilt-large") model = AutoModelForVisualQuestionAnswering.from_pretrained("Salesforce/blip-vqa-capfilt-large") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#13
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b6878c3a4329754ea41c3e2700f03602df45cae9d42f5d5f3835b9ebbb5422f
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size 1538800664
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