Instructions to use inclusionAI/LLaDA2.0-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/LLaDA2.0-flash with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/LLaDA2.0-flash", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c5e26a1aa927cdbbb767402ae42eb0d65a201d60eb250586e820170eca52c64
- Size of remote file:
- 4.7 GB
- SHA256:
- e87a9a6913e2e82ad38a4c670769ffc7c8b9bf0eeb7e5b0f36b105d493619c2b
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