Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
camera-movement
video-understanding
qwen3-vl
distillation
Instructions to use ddz16/CamDistill-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ddz16/CamDistill-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ddz16/CamDistill-4B") model = AutoModelForMultimodalLM.from_pretrained("ddz16/CamDistill-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix usage instructions: correct model class / plugin guidance, English-only
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Add pipeline tag, library name, and links to paper/project/GitHub (#1)
- Add pipeline tag, library name, and links to paper/project/GitHub (4d6c0b7889b81d5b80108f34ebd202259692525b) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>f0b4ccd
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Clean args.json: remove private paths, keep inference-essential fields only
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Fix external_plugins to use relative path
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Upload CamDistill-4B (checkpoint-1326)
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initial commit
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