Instructions to use openai/clip-vit-large-patch14-336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/clip-vit-large-patch14-336 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-large-patch14-336") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("openai/clip-vit-large-patch14-336") model = AutoModelForZeroShotImageClassification.from_pretrained("openai/clip-vit-large-patch14-336", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add widget example input (#3)
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fix incorrect json (#1)
- fix incorrect json (9732b09e84a44fedbe4f44ee2a7f4f204fe4c7be) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>bcb3a29 -
Update config.json
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initial commit
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