Instructions to use vincentclaes/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vincentclaes/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="vincentclaes/models-moved") 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("vincentclaes/models-moved") model = AutoModelForZeroShotImageClassification.from_pretrained("vincentclaes/models-moved") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4707986b5f13faa59f8abadb5d62a4e2509df57822addfcad8acb9f6f17997e9
- Size of remote file:
- 4.22 kB
- SHA256:
- 1c4868e791c9862a56ff3fcf7028877d1db0c6a13d48ec2e23749b6ac14169a0
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