Instructions to use Salesforce/blip2-itm-vit-g-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/blip2-itm-vit-g-coco 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-coco") 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-coco") model = AutoModelForZeroShotImageClassification.from_pretrained("Salesforce/blip2-itm-vit-g-coco") - Notebooks
- Google Colab
- Kaggle
Transformers update
1
#4 opened over 1 year ago
by
RaushanTurganbay
Is this model the image-text retrieval model (BLIP-2 ViT-g) fine-tuned on the COCO dataset ?
👀 2
#2 opened over 1 year ago
by
XiangLiu03