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:
- 47557acc2f12e779a50234cbe3ce31f05cbd6711a0a6d47cf875efc5a673a96b
- Size of remote file:
- 4.86 kB
- SHA256:
- 59dfdf9d9de02204d3f5817f5ca58043d4f028375d529a1be40eb5f6ee073e32
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