Instructions to use mehmetdavut/ruby3.4-gemma-2-2b-5k-all-8bit-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmetdavut/ruby3.4-gemma-2-2b-5k-all-8bit-gemini with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "mehmetdavut/ruby3.4-gemma-2-2b-5k-all-8bit-gemini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 111827dd01ae69bb71c62f27b5d0f058112c13a8a20f71acfef864c61f009743
- Size of remote file:
- 34.4 MB
- SHA256:
- c6e713c339ee930daa690fa64c9f4535b5c8932d2553a4091efa65ce980248c1
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