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
- Xet hash:
- 3b6e34d044b98942ba1b9abe4bb748019182102dd808b5f75bb612ca67d046a3
- Size of remote file:
- 605 MB
- SHA256:
- d4e2265bd3eea875d74940a08781c851523930ec6f928110fcc347afb7a406c1
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