Instructions to use andstor/bigcode-starcoder2-7b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/bigcode-starcoder2-7b-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "andstor/bigcode-starcoder2-7b-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.99835255354201, | |
| "total_flos": 4.603349598658888e+17, | |
| "train_loss": 0.7779110742575956, | |
| "train_runtime": 2984.3873, | |
| "train_samples": 7283, | |
| "train_samples_per_second": 7.321, | |
| "train_steps_per_second": 0.457 | |
| } |