Instructions to use ruotian/ConClick-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ruotian/ConClick-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ruotian/ConClick-8B") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -16,8 +16,7 @@ tags:
|
|
| 16 |
|
| 17 |
# ConClick-8B
|
| 18 |
|
| 19 |
-
Model for **ConClick: Element-wise Contrastive Learning Improves GUI Grounding**. ConClick trains on target–distractor examples with coordinate supervision, listwise ranking, and pairwise margin losses.
|
| 20 |
-
|
| 21 |
| Inference | ScreenSpot-Pro | MMBench-GUI L2 | OSWorld-G |
|
| 22 |
|---|---:|---:|---:|
|
| 23 |
| Direct | 66.03 | 86.28 | 70.20 |
|
|
|
|
| 16 |
|
| 17 |
# ConClick-8B
|
| 18 |
|
| 19 |
+
Model for **ConClick: Element-wise Contrastive Learning Improves GUI Grounding**. ConClick trains on target–distractor examples with coordinate supervision, listwise ranking, and pairwise margin losses.
|
|
|
|
| 20 |
| Inference | ScreenSpot-Pro | MMBench-GUI L2 | OSWorld-G |
|
| 21 |
|---|---:|---:|---:|
|
| 22 |
| Direct | 66.03 | 86.28 | 70.20 |
|