Image Segmentation
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use Ricky06662/VisionReasoner-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ricky06662/VisionReasoner-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Ricky06662/VisionReasoner-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Ricky06662/VisionReasoner-7B") model = AutoModelForMultimodalLM.from_pretrained("Ricky06662/VisionReasoner-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card for VisionReasoner-7B (Seg-Zero framework)
Verified signatureThis PR significantly improves the model card for `Ricky06662/VisionReasoner-7B` by: * **Updating the `pipeline_tag` to `image-segmentation`** to accurately reflect the model's core task of generating pixel-level masks, enhancing its discoverability on the Hugging Face Hub. * **Clarifying paper references** by highlighting its foundation in the primary paper, "[Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement](https://huggingface.co/papers/2503.06520)", while also linking to "[VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning](https://huggingface.co/papers/2505.12081)". * **Correcting code and project page links** to the official `Seg-Zero` GitHub repository: `https://github.com/dvlab-research/Seg-Zero`. * **Expanding the model description** with detailed insights from the paper abstract and GitHub README, covering its decoupled architecture, reinforcement learning training, zero-shot generalization capabilities, and pe…99e8a6b
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Add metadata, project page link and improve description (#1)
Verified signature- Add metadata, project page link and improve description (90abac3b9ba48d73ced1ed885b0dd3515974c9cc) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>9e85977
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