Instructions to use MirroS-Lab/Code-as-World-VL-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MirroS-Lab/Code-as-World-VL-4B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("MirroS-Lab/Code-as-World-VL-4B") model = AutoModelForMultimodalLM.from_pretrained("MirroS-Lab/Code-as-World-VL-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag, add library name, and add project/GitHub links
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Updating the
pipeline_tagfromquestion-answeringtovideo-text-to-textso the model is correctly categorized in the Hub. - Adding
library_name: transformerssince the model is compatible with the Transformers library. - Adding links to the project page and GitHub repository in the README.
hanyang-21 changed pull request status to merged