Visual Question Answering
Transformers
Safetensors
English
Korean
qwen3_vl_moe
image-text-to-text
agent
Instructions to use mncai/hunmin_vlm_235b_v0.11_merged_cua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mncai/hunmin_vlm_235b_v0.11_merged_cua with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="mncai/hunmin_vlm_235b_v0.11_merged_cua")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mncai/hunmin_vlm_235b_v0.11_merged_cua") model = AutoModelForMultimodalLM.from_pretrained("mncai/hunmin_vlm_235b_v0.11_merged_cua", device_map="auto") - Notebooks
- Google Colab
- Kaggle