Image Feature Extraction
Transformers
Safetensors
qwen2_5_vl
feature-extraction
text-generation-inference
Instructions to use Niujunbo2002/qwen2_5_vit-668m-patch14-native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Niujunbo2002/qwen2_5_vit-668m-patch14-native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Niujunbo2002/qwen2_5_vit-668m-patch14-native")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Niujunbo2002/qwen2_5_vit-668m-patch14-native") model = AutoModel.from_pretrained("Niujunbo2002/qwen2_5_vit-668m-patch14-native", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Niujunbo2002/qwen2_5_vit-668m-patch14-native: direct link, hf CLI and curl.
- Browser
- Download file 407 Bytes
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https://huggingface.co/Niujunbo2002/qwen2_5_vit-668m-patch14-native/resolve/main/README.md
- Command line
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hf download hf://Niujunbo2002/qwen2_5_vit-668m-patch14-native/README.md
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curl -L -o README.md https://huggingface.co/Niujunbo2002/qwen2_5_vit-668m-patch14-native/resolve/main/README.md
407 Bytes
metadata
license: apache-2.0
library_name: transformers
pipeline_tag: image-feature-extraction
This repository contains the NativeRes-LLaVA model from Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models.
Project page: https://niujunbo2002.github.io/NativeRes-LLaVA/
For code, see https://github.com/Niujunbo2002/NativeRes-LLaVA.