Instructions to use HL02/math_llama-2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HL02/math_llama-2-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "HL02/math_llama-2-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf3e49b2322f215f9c5e90f8cc015893b65f249779ff358819e89cea157d3392
- Size of remote file:
- 16.8 MB
- SHA256:
- ea734ee252585d77cf8c918d3f02ab4da8fc8e1d1aa3767f59f22ba98ba9e97d
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