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
Add model card
#1
by nielsr HF Staff - opened
This PR adds a model card for the NativeRes-LLaVA model introduced in Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models.
It adds a link to the paper page, the pipeline tag image-feature-extraction, the library name transformers, and a link to the project page.
Niujunbo2002 changed pull request status to merged