Instructions to use vinid/plip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinid/plip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="vinid/plip") 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("vinid/plip") model = AutoModelForZeroShotImageClassification.from_pretrained("vinid/plip") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8474d0b0031d4520d475fb7eb47f57c92e1ed7606eb7513bf75758a893ab4323
- Size of remote file:
- 605 MB
- SHA256:
- 98a7f8d2a1f4a8fc8f6dedb3a16ff7efbe02a7ef67c93904c80bca9767c69630
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