Instructions to use openai/clip-vit-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/clip-vit-base-patch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-patch16") 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("openai/clip-vit-base-patch16") model = AutoModelForZeroShotImageClassification.from_pretrained("openai/clip-vit-base-patch16") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#14
by MikyLanfra - opened
Hello, I am a master student and for a personal project I would like to use this pretrained model as a baseline for a text-image multimodal classifier, and I would like to include a citation to this (as well as the openai/clip-vit-base-patch32) model.
Is it possible to have a DOI relative to it?
Thank you