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:
- 23ef1ab30cbe50999f766046cacc6e3222b56086d1bcb3a6897b9bd30ae3c563
- Size of remote file:
- 17.5 MB
- SHA256:
- d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
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