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_q4.onnx from onnx-community/nanoLLaVA-1.5: direct link, hf CLI and curl.
- Browser
- Download file 257 MB
-
https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/vision_encoder_q4.onnx
- Command line
-
hf download hf://onnx-community/nanoLLaVA-1.5/onnx/vision_encoder_q4.onnx
-
curl -L -o vision_encoder_q4.onnx https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/vision_encoder_q4.onnx
257 MB
- Xet hash:
- 6eb165cab6d03f666bacdc496708b14f5471bfe8064aa93a5435caa0546840f3
- Size of remote file:
- 257 MB
- SHA256:
- 3eb7d11ebb6a513fd90cd017340e4b93900a95d940137c08da6f8dd17ebf0bab
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