Instructions to use CMU-AIR2/math-llama3-arithStep2K-MWP2K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMU-AIR2/math-llama3-arithStep2K-MWP2K with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "CMU-AIR2/math-llama3-arithStep2K-MWP2K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a5fb93a501438b475ec3ff4606b75b3ff79bbba384c21ac08b8b51ac3d886a
- Size of remote file:
- 1.34 GB
- SHA256:
- c3182344a5711fca80703a19f1d4e7e450d660a6117e9c4e18d6aec3a092f9ef
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