Instructions to use Holarissun/mar13_gemma2b_aisft_gsm8k_rand_alpha1.03-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_alpha1.03-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_alpha1.03-subset7000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43cf7ac05d3cab5555693dd1083d17e3573e4f99b36fea9125c1803d310f7eb1
- Size of remote file:
- 14.8 MB
- SHA256:
- 9f3c3ea19c592b03d355794b78688e526545fca9a69df23424a498bf10d67b95
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