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DeepSeer-R1-Vision-Distill-Qwen-1.5B_google_vit-base-patch16-224
mehmetkeremturkcan/DeepSeer-R1-Vision-Distill-Qwen-1.5B_google_vit-base-patch16-224
DeepSeer-R1-Vision-Distill-Qwen-1.5B_google_vit-base-patch16-224 is a image-text-to-text model from mehmetkeremturkcan. 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.
<p align="center" <img src="https://github.com/mkturkcan/deepseek-vlm/blob/main/assets/logo.png?raw=true" width="180" / </p
All-time downloads
420
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Repo size
146 MB
Likes
3
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Repo makeup
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jan 30, 2025
- Updated
- Feb 2, 2025
- SHA
- fa4c1857
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<p align="center">
<img src="https://github.com/mkturkcan/deepseek-vlm/blob/main/assets/logo.png?raw=true" width="180" />
</p>
<h3 align="center">
<p>DeepSeer: Vision Language Models with Reasoning</p>
</h3>
Vision language models with chain-of-thought reasoning are just starting to emerge. This is a proof-of-concept to train a vision model with thinking-enabled chat templates based on DeepSeek-R1 models.
Setup
pip install git+https://github.com/facebookresearch/schedule_free.git
pip install peft
git clone https://github.com/mkturkcan/seers.git
cd seers/seers/
git clone https://huggingface.co/mehmetkeremturkcan/DeepSeer-R1-Vision-Distill-Qwen-1.5B_google_vit-base-patch16-224
Test
Run
python predict.py
Training Details
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on the 5CD-AI/LLaVA-CoT-o1-Instruct dataset. It has been trained using seers.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Jan 30, 2025
- Updated
- Feb 2, 2025