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:
- ad19bc44c4b47e9b012f678c848e0289b445f28162fb98508e29508f2a74c5f4
- Size of remote file:
- 41.6 MB
- SHA256:
- e42df7ed240a8e9e54cae3980293945d5f66c103022f7e743d2da7abc5c00320
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.