Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
qwen3-vl
video
motion-analysis
motion-quality-assessment
emnlp-2026-findings
custom-code
Instructions to use JohnZhan/MotionInsight-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnZhan/MotionInsight-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JohnZhan/MotionInsight-8B") model = AutoModelForMultimodalLM.from_pretrained("JohnZhan/MotionInsight-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JohnZhan/MotionInsight-8B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/JohnZhan/MotionInsight-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://JohnZhan/MotionInsight-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JohnZhan/MotionInsight-8B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 32219080600eea24dbf091a98fb34f9447e8b30811d54d5162e17f8c52d8c0c8
- Size of remote file:
- 11.4 MB
- SHA256:
- 84a0cde0848b0fd35f3cf76fa988da855bee1456481272cb2e9eca3343bfcab0
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