Instructions to use google-cloud-partnership/gemma-2-2b-it-lora-magicoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use google-cloud-partnership/gemma-2-2b-it-lora-magicoder 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, "google-cloud-partnership/gemma-2-2b-it-lora-magicoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 601b5dbb5caed7fa60714b85b27fde0921a06f12acfb0632526c00a40d0b0278
- Size of remote file:
- 6.9 kB
- SHA256:
- ec8059564270233c463911936512c79ec62b3b3bf31419a7cf3e709dbd672566
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