Zero-Shot Image Classification
Transformers
PyTorch
English
clip
multimodal
language
vision
image-search
Instructions to use sujitpal/clip-imageclef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sujitpal/clip-imageclef with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="sujitpal/clip-imageclef") 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("sujitpal/clip-imageclef") model = AutoModelForZeroShotImageClassification.from_pretrained("sujitpal/clip-imageclef") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4973cbf91c2121bb7226f53f9ad7b2a40ab0acfdd36beb92a2bc6b1ec5c510a2
- Size of remote file:
- 605 MB
- SHA256:
- 30eb1dbe71b94b2a8f97160fbb482d081d5fdb399705dce5d745308685f03d50
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