Downloads · 30 days
7
29% of all-time downloads
Qwen3.5-2B-VTContrast
AndGate811/Qwen3.5-2B-VTContrast
Qwen3.5-2B-VTContrast is a image-text-to-text model from AndGate811. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Qwen3.5-2B-VTContrast is a vision-language model based on Qwen3.5-2B. It is fine-tuned for video temporal understanding with a contrastive training objective, aiming to improve performance over temporal order and visu…
All-time downloads
24
Public
Repo size
4.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.4 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- b12835d5
Try a prompt
Base models
Model card
From the Hugging Face model README
Qwen3.5-2B-VTContrast
Qwen3.5-2B-VTContrast is a vision-language model based on Qwen3.5-2B. It is fine-tuned for video temporal understanding with a contrastive training objective, aiming to improve performance over temporal order and visual changes in videos.
Usage
from transformers import AutoProcessor, Qwen3_5ForConditionalGeneration
model_id = "AndGate811/Qwen3.5-2B-VTContrast"
processor = AutoProcessor.from_pretrained(model_id)
model = Qwen3_5ForConditionalGeneration.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
)
Please disable thinking mode during inference.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026