Instructions to use RISys-Lab/ReasonCLIP-B32-S2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RISys-Lab/ReasonCLIP-B32-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-B32-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-B32-S2") model = AutoModelForZeroShotImageClassification.from_pretrained("RISys-Lab/ReasonCLIP-B32-S2") - Notebooks
- Google Colab
- Kaggle
Commit History
docs: update usage model id namespace df5b714 verified
docs: add project and paper links e6cd2dd verified
docs: correct license metadata to CC BY-NC-SA 4.0 fcf5b27 verified
docs: add CC BY-SA 4.0 license metadata a94e461 verified
Add method figure to model card f128614
ReasonCLIP Bot commited on
Update model card 9eccec9
ReasonCLIP Bot commited on