Instructions to use Gen-Verse/MMaDA-8B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gen-Verse/MMaDA-8B-Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gen-Verse/MMaDA-8B-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Improve model card: update paper link, add usage, project overview and tags
Verified signatureThis PR significantly enhances the model card for `MMaDA-8B-Base` by: - Updating the paper link to the official Hugging Face Papers page (`https://huggingface.co/papers/2505.15809`). - Adding a comprehensive "Sample Usage" section, including "Quick Start" and "Inference" examples (Text Generation, Multimodal Generation, Text-to-Image Generation) directly from the official GitHub repository, with clarifying comments for `model_path`. - Including "Latest Updates" and "MMaDA Series Overview" sections from the GitHub README to provide more context about the model's development and different checkpoints. - Adding visual elements (GIF and image) from the GitHub repository to enrich the model card. - Adding relevant `tags` (e.g., `diffusion-model`, `multimodal`, `text-to-image`, `text-generation`, `image-captioning`, `generalist-llm`) and `language: en` to improve discoverability. The existing `library_name: transformers` and `pipeline_tag: any-to-any` metadata are retained, as th…b574593
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