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clip-vit-large-patch14-336
Xenova/clip-vit-large-patch14-336
clip-vit-large-patch14-336 is a zero-shot image classification model from Xenova. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.js.
https://huggingface.co/openai/clip-vit-large-patch14-336 with ONNX weights to be compatible with Transformers.js.
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.onnx9.5 GB · 100%
At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers.js
- Model type
- clip
- Access
- Public
- Created
- Sep 1, 2023
- Updated
- Jul 8, 2025
- SHA
- 2e62e9b1
Base models
Model card
From the Hugging Face model README
https://huggingface.co/openai/clip-vit-large-patch14-336 with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Zero shot image classification.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-large-patch14-336');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
const output = await classifier(url, ['tiger', 'horse', 'dog']);
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
- Task
- Zero-Shot Image Classification
- Library
- transformers.js
- Type
- clip
- Created
- Sep 1, 2023
- Updated
- Jul 8, 2025