Instructions to use cattoroboto/gemma-2-9b-CharacterCodex-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cattoroboto/gemma-2-9b-CharacterCodex-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "cattoroboto/gemma-2-9b-CharacterCodex-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 476523e937613bb075f608e601980e3711c3ac6e35c4c64e4b4f2975116b0bd0
- Size of remote file:
- 216 MB
- SHA256:
- 87ab36f4e547e328455a9f5438a48b3538f840ace192024dcec95d18d87bdd12
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