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
Download tokenizer.json from ddz16/CamInject-4B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ddz16/CamInject-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ddz16/CamInject-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ddz16/CamInject-4B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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