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:
- 8f698e885663cd443afa602bd9cc42a22756eb4b0f85c16e75c1b397a2aa7c47
- Size of remote file:
- 4.99 GB
- SHA256:
- 0b4b381cf7359671f8ea0c39cdbd0c32e4a13e7bf7f0f2dc6f5a4e1b88680500
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