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');
Download tokenizer.json from Xenova/vit-gpt2-image-captioning: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Xenova/vit-gpt2-image-captioning/resolve/main/tokenizer.json
- Command line
-
hf download hf://Xenova/vit-gpt2-image-captioning/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Xenova/vit-gpt2-image-captioning/resolve/main/tokenizer.json
2.11 MB
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