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README.md
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| **GUI-Actor-7B-Qwen2-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-7B-Qwen2-VL) |
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| **GUI-Actor-2B-Qwen2-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-2B-Qwen2-VL) |
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| **GUI-Actor-7B-Qwen2.5-VL
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| **GUI-Actor-3B-Qwen2.5-VL
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| **GUI-Actor-Verifier-2B** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-Verifier-2B) |
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## π Performance Comparison on GUI Grounding Benchmarks
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from qwen_vl_utils import process_vision_info
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from datasets import load_dataset
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from transformers import
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from gui_actor.constants import chat_template
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from gui_actor.modeling_qwen25vl import Qwen2_5_VLForConditionalGenerationWithPointer
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from gui_actor.inference import inference
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# load model
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model_name_or_path = "microsoft/GUI-Actor-7B-Qwen2.5-VL"
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data_processor =
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tokenizer = data_processor.tokenizer
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model = Qwen2_5_VLForConditionalGenerationWithPointer.from_pretrained(
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model_name_or_path,
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|--------------------------------------------|--------------------------------------------|
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| **GUI-Actor-7B-Qwen2-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-7B-Qwen2-VL) |
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| **GUI-Actor-2B-Qwen2-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-2B-Qwen2-VL) |
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| **GUI-Actor-7B-Qwen2.5-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-7B-Qwen2.5-VL) |
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| **GUI-Actor-3B-Qwen2.5-VL** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-3B-Qwen2.5-VL) |
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| **GUI-Actor-Verifier-2B** | [π€ Hugging Face](https://huggingface.co/microsoft/GUI-Actor-Verifier-2B) |
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## π Performance Comparison on GUI Grounding Benchmarks
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from qwen_vl_utils import process_vision_info
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from datasets import load_dataset
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from transformers import AutoProcessor
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from gui_actor.constants import chat_template
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from gui_actor.modeling_qwen25vl import Qwen2_5_VLForConditionalGenerationWithPointer
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from gui_actor.inference import inference
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# load model
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model_name_or_path = "microsoft/GUI-Actor-7B-Qwen2.5-VL"
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data_processor = AutoProcessor.from_pretrained(model_name_or_path)
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tokenizer = data_processor.tokenizer
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model = Qwen2_5_VLForConditionalGenerationWithPointer.from_pretrained(
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model_name_or_path,
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