Instructions to use gimmy256/adaption_africa_math_code_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gimmy256/adaption_africa_math_code_qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.2-3B-Instruct-Reference__TOG__FT") model = PeftModel.from_pretrained(base_model, "gimmy256/adaption_africa_math_code_qa") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 412cb40c865d39695cd65afa5d242e847a4b2adac04ecbb75f3f19ee7df893d9
- Size of remote file:
- 126 kB
- SHA256:
- a0cbb9949ea606f35d7f12e4818af1cfbc0ac8d9eb4b4477e06047c4e8b28543
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