Instructions to use Salesforce/blip-image-captioning-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip-image-captioning-large with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Salesforce/blip-image-captioning-large") model = AutoModelForMultimodalLM.from_pretrained("Salesforce/blip-image-captioning-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Data privacy of uploaded image
#30
by Achrad - opened
It's a very nice model to generate the text or caption for an image. But we are worried about the data. Is my uploaded image stored anywhere? If stored, what is the purpose of storing it, and how long are you going to keep it?
It's a very nice model to generate the text or caption for an image. But we are worried about the data. Is my uploaded image stored anywhere? If stored, what is the purpose of storing it, and how long are you going to keep it?
you are worried this much about data in a LLM , probably AI stuff is not right for you bro