Instructions to use HaochenWang/GAR-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaochenWang/GAR-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HaochenWang/GAR-8B", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaochenWang/GAR-8B", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,7 @@ datasets:
|
|
| 11 |
|
| 12 |
# GAR-8B
|
| 13 |
|
| 14 |
-
This repository contains the **GAR-8B** model, as presented in the paper [Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs](https://
|
| 15 |
|
| 16 |
**TL; DR:** Our Grasp Any Region (GAR) supports both (1) describing a single region of an image or a video in the form of points/boxes/scribbles/masks in detail and (2) understanding multiple regions such as modeling interactions and performing complex reasoning. We also release a new benchmark, GARBench, to evaluate models on advanced region-level understanding tasks.
|
| 17 |
|
|
|
|
| 11 |
|
| 12 |
# GAR-8B
|
| 13 |
|
| 14 |
+
This repository contains the **GAR-8B** model, as presented in the paper [Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs](https://huggingface.co/papers/2510.18876).
|
| 15 |
|
| 16 |
**TL; DR:** Our Grasp Any Region (GAR) supports both (1) describing a single region of an image or a video in the form of points/boxes/scribbles/masks in detail and (2) understanding multiple regions such as modeling interactions and performing complex reasoning. We also release a new benchmark, GARBench, to evaluate models on advanced region-level understanding tasks.
|
| 17 |
|