Depth Estimation
Transformers
Safetensors
qwen3_vl
image-text-to-text
vision-language-model
3d-vision
multimodal
qwen3-vl
Instructions to use JonnyYu828/DepthVLM-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonnyYu828/DepthVLM-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("depth-estimation", model="JonnyYu828/DepthVLM-4B")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("JonnyYu828/DepthVLM-4B") model = AutoModelForImageTextToText.from_pretrained("JonnyYu828/DepthVLM-4B") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-VL-4B-Instruct
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pipeline_tag: depth-estimation
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paper:
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- arxiv: 2605.15876
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-VL-4B-Instruct
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pipeline_tag: depth-estimation
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tags:
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- vision-language-model
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- depth-estimation
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- 3d-vision
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- multimodal
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- qwen3-vl
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paper:
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- arxiv: 2605.15876
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