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:
- e37ae3910451e76b3583c492c77605845a1d5318057366549e08b9bda37b7091
- Size of remote file:
- 5 GB
- SHA256:
- 48aeca91c4e65766baf1cebb5e0d78b7fd0493540b7b105c78579e9df58a45b1
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