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:
- d3864c79af68fe4025e3658ecbe24bf8405b511a31ebce088da37be0f83e680f
- Size of remote file:
- 4.99 GB
- SHA256:
- 7a37ad5fb049742ae900c6016a0e8ee9db9239659d674bd83a40a8b123541a06
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