Instructions to use OneThink/OneThinker-SFT-Qwen3-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OneThink/OneThinker-SFT-Qwen3-8B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("OneThink/OneThinker-SFT-Qwen3-8B") model = AutoModelForImageTextToText.from_pretrained("OneThink/OneThinker-SFT-Qwen3-8B") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,9 +10,9 @@ license: apache-2.0
|
|
| 10 |
|
| 11 |
# OneThinker: All-in-one Reasoning Model for Image and Video
|
| 12 |
|
| 13 |
-
[[📖 Paper](https://huggingface.co/papers/2512.03043)]
|
| 14 |
|
| 15 |
-
|
|
|
|
| 16 |
|
| 17 |
This is an intermediate model prepared for subsequent RL training.
|
| 18 |
|
|
|
|
| 10 |
|
| 11 |
# OneThinker: All-in-one Reasoning Model for Image and Video
|
| 12 |
|
|
|
|
| 13 |
|
| 14 |
+
|
| 15 |
+
This repository contains the **SFT model** presented in: [OneThinker: All-in-one Reasoning Model for Image and Video](https://arxiv.org/pdf/2512.03043)
|
| 16 |
|
| 17 |
This is an intermediate model prepared for subsequent RL training.
|
| 18 |
|