Instructions to use Koomemartin/gemma2-9b-version4-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Koomemartin/gemma2-9b-version4-100k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "Koomemartin/gemma2-9b-version4-100k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72dc7011b2779fa7697560b11ed38996a9c37af65cfa7a322e9dd9a2075c6b5a
- Size of remote file:
- 17.9 MB
- SHA256:
- a318c5558f8a1119488bfffdd797890bd08177a48eaa4ec94633bdbf617440c4
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