Owlv2 Base Patch16

--- base_model: google/owlv2-base-patch16 library_name: transformers.js --- https://huggingface.co/google/owlv2-base-patch16 with ONNX weights to be compatible with Transformers.js. ## Usage (Transformers.js) If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using: ```bash npm i @huggingface/transformers ``` **Example:** Zero-shot object detection. ```js import { pipeline } from '@huggingface/transformers'; const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlv2-base-patch16'); const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/astronaut.png'; const candidate_labels = ['human face', 'rocket', 'helmet', 'american flag']; const output = await detector(url, candidate_labels); ``` 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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

Source context: 131 downloads · 0 likes · Pipeline zero-shot-object-detection · Library transformers.js · Repo Xenova/owlv2-base-patch16

Source context: 48 downloads · 0 likes · Pipeline zero-shot-object-detection · Library transformers.js · Repo Xenova/owlv2-base-patch16