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.onnx from onnx-community/nanoLLaVA-1.5: direct link, hf CLI and curl.
- Browser
- Download file 1.6 GB
-
https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/bbebb4745520963f1a3d1cfde885f6f778bc4bff/onnx/vision_encoder.onnx
- Command line
-
hf download hf://onnx-community/nanoLLaVA-1.5@bbebb4745520963f1a3d1cfde885f6f778bc4bff/onnx/vision_encoder.onnx
-
curl -L -o vision_encoder.onnx https://huggingface.co/onnx-community/nanoLLaVA-1.5/resolve/bbebb4745520963f1a3d1cfde885f6f778bc4bff/onnx/vision_encoder.onnx
1.6 GB
- Xet hash:
- 3b636a8389c0a54b70c7adc028e153b4c347a2b6b43137b77486a0c1ea9ad37b
- Size of remote file:
- 1.6 GB
- SHA256:
- 628a3e6791de35d54503134bb2ad3879e46fbd6cf4a988e165750797cf79ac90
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