Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
camera-movement
video-understanding
qwen3-vl
vggt-injection
Instructions to use ddz16/CamInject-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddz16/CamInject-4B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ddz16/CamInject-4B") model = AutoModelForMultimodalLM.from_pretrained("ddz16/CamInject-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and links to paper/project/github
#1
by nielsr HF Staff - opened
README.md
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license: apache-2.0
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base_model: Qwen/Qwen3-VL-4B-Instruct
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tags:
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- camera-movement
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- video-understanding
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# CamInject-4B
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Camera-movement VGGT-Direct 注入 SFT 微调模型,基于 `Qwen/Qwen3-VL-4B-Instruct`。
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- Checkpoint: `checkpoint-1326`
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from transformers import AutoModelForCausalLM, AutoProcessor
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model = AutoModelForCausalLM.from_pretrained("ddz16/CamInject-4B", torch_dtype="bfloat16", device_map="auto")
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processor = AutoProcessor.from_pretrained("ddz16/CamInject-4B")
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```
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---
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base_model: Qwen/Qwen3-VL-4B-Instruct
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license: apache-2.0
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library_name: transformers
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pipeline_tag: video-text-to-text
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tags:
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- camera-movement
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- video-understanding
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# CamInject-4B
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This repository contains the **CamInject-4B** model from the paper [Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge Distillation](https://huggingface.co/papers/2608.10932).
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**Project page**: https://ddz16.github.io/cammotion.github.io
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**GitHub**: https://github.com/ddz16/CamDistill
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Camera-movement VGGT-Direct 注入 SFT 微调模型,基于 `Qwen/Qwen3-VL-4B-Instruct`。
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- Checkpoint: `checkpoint-1326`
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from transformers import AutoModelForCausalLM, AutoProcessor
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model = AutoModelForCausalLM.from_pretrained("ddz16/CamInject-4B", torch_dtype="bfloat16", device_map="auto")
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processor = AutoProcessor.from_pretrained("ddz16/CamInject-4B")
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```
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