Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
qwen3-vl
video-qa
temporal-grounding
procedural-video
object-centric
Instructions to use BrightGuo/ProcObject-Qwen3-VL-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrightGuo/ProcObject-Qwen3-VL-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("BrightGuo/ProcObject-Qwen3-VL-4B") model = AutoModelForMultimodalLM.from_pretrained("BrightGuo/ProcObject-Qwen3-VL-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from BrightGuo/ProcObject-Qwen3-VL-4B: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/BrightGuo/ProcObject-Qwen3-VL-4B/resolve/main/merges.txt
- Command line
-
hf download hf://BrightGuo/ProcObject-Qwen3-VL-4B/merges.txt
-
curl -L -o merges.txt https://huggingface.co/BrightGuo/ProcObject-Qwen3-VL-4B/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.