Instructions to use Holarissun/mar13_gemma2b_aisft_gsm8k_rand_alpha1.05-subset7000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Holarissun/mar13_gemma2b_aisft_gsm8k_rand_alpha1.05-subset7000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "Holarissun/mar13_gemma2b_aisft_gsm8k_rand_alpha1.05-subset7000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4000e3687f27afca6e6c130bcf40daf3c859f84ab0b4ad86ef1ad0d54b07f156
- Size of remote file:
- 14.8 MB
- SHA256:
- 9b5b35387d3e552cb2837c09d64d289a975a5867dfdb13fb5dab826024462821
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