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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea8857114319f71cc8e7f50ca2b56e248a333a68155b559183444babe0aaff61
- Size of remote file:
- 1.54 GB
- SHA256:
- 236b6463d2dc1de57efe9be3427a0a7865cca364100f964b2c46762bb1d62667
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