Image-to-Video
PEFT
Safetensors
worl
lingbot
world-model
video-generation
camera-control
reinforcement-learning
lora
Instructions to use Efficient-Large-Model/WORL-Lingbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Efficient-Large-Model/WORL-Lingbot with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download NOTICE.txt from Efficient-Large-Model/WORL-Lingbot: direct link, hf CLI and curl.
- Browser
- Download file 486 Bytes
-
https://huggingface.co/Efficient-Large-Model/WORL-Lingbot/resolve/main/NOTICE.txt
- Command line
-
hf download hf://Efficient-Large-Model/WORL-Lingbot/NOTICE.txt
-
curl -L -o NOTICE.txt https://huggingface.co/Efficient-Large-Model/WORL-Lingbot/resolve/main/NOTICE.txt
486 Bytes
| WORL-Lingbot | |
| This release republishes the model artifacts from qyoo/lingbot-worl | |
| at revision d3e449c675f5a8bfb3afd29e30f1675e4445b9c3, with updated documentation | |
| and release metadata. Weight and model configuration bytes are unchanged. | |
| Base model: https://huggingface.co/robbyant/lingbot-world-fast | |
| The source model card declares Apache License 2.0. See LICENSE.txt. | |
| Upstream models and separately obtained runtime components retain their | |
| respective licenses and attribution notices. | |