Instructions to use mousezhang/math-llada8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mousezhang/math-llada8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Instruct") model = PeftModel.from_pretrained(base_model, "mousezhang/math-llada8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3b29fb4ab21fe049c813c4dfa1b6cf12da2fd46ded98de2d27248b01ec794f4
- Size of remote file:
- 9.66 kB
- SHA256:
- f4a924257fdeb92328c284657149a5dd5e813f110df594d876a8c85fb384ed90
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