Instructions to use PeterPanTheGenius/CLIPfromIRRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeterPanTheGenius/CLIPfromIRRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="PeterPanTheGenius/CLIPfromIRRA") 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("PeterPanTheGenius/CLIPfromIRRA") model = AutoModelForZeroShotImageClassification.from_pretrained("PeterPanTheGenius/CLIPfromIRRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a288c80de3ac4eada189de2fa99184941f382ec017a49393796b19dab1be95a
- Size of remote file:
- 599 MB
- SHA256:
- ffa15e352aed58582a47f849a61dd02785bfa42e444330d8fbc15137ba699c90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.