Instructions to use RISys-Lab/ReasonCLIP-L14-336-S2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RISys-Lab/ReasonCLIP-L14-336-S2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="RISys-Lab/ReasonCLIP-L14-336-S2") 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("RISys-Lab/ReasonCLIP-L14-336-S2") model = AutoModelForZeroShotImageClassification.from_pretrained("RISys-Lab/ReasonCLIP-L14-336-S2") - Notebooks
- Google Colab
- Kaggle
Commit History
docs: add project and paper links 99dc0fe verified
docs: correct license metadata to CC BY-NC-SA 4.0 8f68c12 verified
docs: add CC BY-SA 4.0 license metadata 962db4f verified
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