Depth Estimation
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
vision-language-model
3d-vision
multimodal
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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<img src="https://cdn-uploads.huggingface.co/production/uploads/652d3023cdb2a91205709b6a/G_n7TbVjIv8PYUjq0kxPP.png" width="160" />
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Unlocking Dense Metric Depth Estimation in VLMs
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<b>Project Page:</b> <a href="https://depthvlm.github.io/">depthvlm.github.io</a> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/652d3023cdb2a91205709b6a/G_n7TbVjIv8PYUjq0kxPP.png" width="160" />
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Unlocking Dense Metric Depth Estimation in VLMs
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<b>Project Page:</b> <a href="https://depthvlm.github.io/">depthvlm.github.io</a> |
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