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/decoder_model_merged_int8.onnx from onnx-community/nanoLLaVA-1.5: direct link, hf CLI and curl.
- Browser
- Download file 482 MB
-
https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/decoder_model_merged_int8.onnx
- Command line
-
hf download hf://onnx-community/nanoLLaVA-1.5/onnx/decoder_model_merged_int8.onnx
-
curl -L -o decoder_model_merged_int8.onnx https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/main/onnx/decoder_model_merged_int8.onnx
482 MB
- Xet hash:
- 9bf07a9d079142c9e5d903e8714fd414b7e2d0e9333e7d328a798654bc2c57b5
- Size of remote file:
- 482 MB
- SHA256:
- 7536abf7f1cd563ddf2acca3844bfa5abb8ff701e1dc485b2b72a9c2fe10498f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.