Image-Text-to-Text
Transformers.js
ONNX
English
llava
text-generation
multimodal
qwen
conversational
Instructions to use onnx-community/nanoLLaVA-1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/nanoLLaVA-1.5 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-text-to-text', 'onnx-community/nanoLLaVA-1.5');
Download onnx/vision_encoder_int8.onnx from onnx-community/nanoLLaVA-1.5: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/vision_encoder_int8.onnx
- Command line
-
hf download hf://onnx-community/nanoLLaVA-1.5/onnx/vision_encoder_int8.onnx
-
curl -L -o vision_encoder_int8.onnx https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/vision_encoder_int8.onnx
405 MB
- Xet hash:
- 5082cc9495cfaaff35ea340ea402ed9cc00d5e26c46b304a117311113a43b322
- Size of remote file:
- 405 MB
- SHA256:
- eb0c6e64c24e49c075ae3d50047246d865c6cb6f9ddf71fa989e020825b92c52
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