Instructions to use inclusionAI/LLaDA-MoE-7B-A1B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA-MoE-7B-A1B-Instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA-MoE-7B-A1B-Instruct", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, paper link, GitHub & citation
#2
by nielsr HF Staff - opened
This PR enhances the model card for LLaDA-MoE by:
- Adding the
pipeline_tag: text-generationto improve model discoverability on the Hub. - Adding a direct link to the paper, dInfer: An Efficient Inference Framework for Diffusion Language Models, in the model description.
- Including a prominent link to the GitHub repository: https://github.com/inclusionAI/dInfer.
- Updating the "Citation (Coming Soon)" section with the correct BibTeX entry from the paper's GitHub repository.
- Removing the redundant
text_generationtag, aspipeline_tagnow covers this.
These changes ensure the model card is complete, well-organized, and provides users with all necessary information at a glance.