Instructions to use Xenova/vit-gpt2-image-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/vit-gpt2-image-captioning with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-to-text', 'Xenova/vit-gpt2-image-captioning');
- Xet hash:
- 31ca74bc6a567e6e496af3295e22309b31eba4b68c8b3a9edf1069ebac7c9b9c
- Size of remote file:
- 615 MB
- SHA256:
- df4abab679e8fa8d5c2140dd1ce83d136e7d47bc08008c9d8b3860643c502776
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