Instructions to use Salesforce/blip2-itm-vit-g with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip2-itm-vit-g with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Salesforce/blip2-itm-vit-g") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Salesforce/blip2-itm-vit-g") model = AutoModelForZeroShotImageClassification.from_pretrained("Salesforce/blip2-itm-vit-g", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b46011547aa13317d18fb0e8e2e678045118b06c160f7c90a9bcde455aa322bc
- Size of remote file:
- 4.78 GB
- SHA256:
- ec37a1612c80fc4067b3e1f74de7cbc71e84b90736e89516c7b4088d79195dda
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