Model Details
Full Model IDQwen/Qwen2-VL-2B-Instruct
Pipeline / Taskimage-text-to-text
Librarytransformers
Downloads (all-time)3.8M
Likes512
Last Modified1/12/2025
Author / OrgQwen
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-text-to-text", model="Qwen/Qwen2-VL-2B-Instruct")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen2_vlimage-text-to-textmultimodalconversationalenarxiv:2409.12191arxiv:2308.12966base_model:Qwen/Qwen2-VL-2Bbase_model:finetune:Qwen/Qwen2-VL-2Blicense:apache-2.0text-generation-inferenceendpoints_compatibledeploy:azureregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: image-text-to-text
This model is designed for the image-text-to-text task. Explore more models for this use case.
All image-text-to-text Models →📊 Popularity
⬇ Downloads3.8M
❤️ Community Likes512
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.