Instructions to use HU22333/arr-video-dev2-archive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HU22333/arr-video-dev2-archive with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HU22333/arr-video-dev2-archive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
arr_video research checkpoints
Completed WorldCompiler and related streaming-video state-learning checkpoints. Each checkpoint is stored under its original relative experiment directory in checkpoints/. Model weights, tokenizer and processor artifacts are retained for research reproducibility. Training data, raw experiment logs, credentials and machine-specific settings are excluded.
Download an individual checkpoint with huggingface_hub.snapshot_download, using allow_patterns=["checkpoints/<experiment>/<checkpoint-directory>/*"], then load that downloaded subdirectory with Transformers. archive_index.json lists completed transfers.
These checkpoints include experimental controls and unsuccessful candidates. Presence in this archive is not a benchmark-performance or model-promotion claim.
Model tree for HU22333/arr-video-dev2-archive
Base model
Qwen/Qwen3-VL-8B-Instruct