Instructions to use flax-community/clip-rsicd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/clip-rsicd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="flax-community/clip-rsicd") 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("flax-community/clip-rsicd") model = AutoModelForZeroShotImageClassification.from_pretrained("flax-community/clip-rsicd") - Notebooks
- Google Colab
- Kaggle
Easy evaluation of the zero-shot capabilities of clip-rsicd
#2
by fhvilshoj - opened
Hi!
Thanks for your efforts in training this model. It's helping push forward the field of AI!
I wanted to show how easy it is to evaluate clip-rsicd against a bunch of others on HF datasets.
Have a look here: https://github.com/encord-team/text-to-image-eval
Would be curious to hear if this is useful to anyone 🤷♂️