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") - Notebooks
- Google Colab
- Kaggle
Transformers release
#6
by RaushanTurganbay HF Staff - opened
No description provided.
Update the configs for the latest Transformers refactor, same way as was done before in other BLIP-2 checkpoints. Do not merge ye!
RaushanTurganbay changed pull request status to open