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
| { | |
| "epoch": 2.9987096774193547, | |
| "total_flos": 6514990399881216.0, | |
| "train_loss": 0.5279938033170147, | |
| "train_runtime": 9440.7969, | |
| "train_samples": 67677, | |
| "train_samples_per_second": 5.91, | |
| "train_steps_per_second": 0.369 | |
| } |