Instructions to use Zeteng/CameraJev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zeteng/CameraJev-4B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download README.md from Zeteng/CameraJev-4B: direct link, hf CLI and curl.
- Browser
- Download file 2.63 kB
-
https://huggingface.co/Zeteng/CameraJev-4B/resolve/main/README.md
- Command line
-
hf download hf://Zeteng/CameraJev-4B/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Zeteng/CameraJev-4B/resolve/main/README.md
license: cc-by-nc-sa-4.0
base_model: ZhuYuhan/VideoJev-4B
base_model_relation: adapter
pipeline_tag: video-classification
library_name: peft
language:
- en
- zh
tags:
- camera-motion
- video-understanding
- video-classification
- lora
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研究用 checkpoint,僅供**非商業研究**(CC-BY-NC-SA-4.0),逐個人工審批。
本倉庫**不含任何視頻或幀**。方法細節、評測結果與使用說明隨倉庫文件一併提供,審核通過後可見。
Research checkpoints for **non-commercial research only** (CC-BY-NC-SA-4.0),
approved
manually. **No video or frames are included.** Method details, evaluation
results and
usage instructions ship with the repository files and are visible once
approved.
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姓名 Full name: text
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我僅用於非商業研究 Non-commercial research only: checkbox
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CameraJev-4B — compact camera-motion recognition
A compact camera-motion recogniser: it answers camera-movement questions — pan, tilt, truck, dolly, zoom, roll, arc, static and more — at a fraction of the size and cost of a large video-language model.
Built for throughput, so camera motion can be labelled across a whole corpus rather than sampled. Improves measurably on its base model on the standard public camera-motion benchmarks.
Quantitative results, the method, and runnable loading code are in the repository and become available once your access request is approved — this work is not yet published, so the public card is kept brief.
What you get
LoRA checkpoints over ZhuYuhan/VideoJev-4B, with their configurations. No video, frames
or training data are included.
Access
Click Request access on this page and complete the form. Requests are reviewed individually.
Licence and credit
- Licence: CC-BY-NC-SA-4.0 — non-commercial research only.
- Base model:
ZhuYuhan/VideoJev-4B(Apache-2.0), not redistributed here.
Citation
If you use this repository, please cite it. The upstream works credited above should be cited as well.
@misc{lin2026camerajev4b,
author = {Zeteng Lin and Jing Tang},
title = {CameraJev-4B: compact camera-motion recognition},
year = {2026},
howpublished = {\url{https://huggingface.co/Zeteng/CameraJev-4B}}
}