Instructions to use nbsts/train_2024-01-03-02-43-22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nbsts/train_2024-01-03-02-43-22 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "nbsts/train_2024-01-03-02-43-22") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_loss": 1.061107873916626, | |
| "eval_runtime": 75.5544, | |
| "eval_samples_per_second": 11.978, | |
| "eval_steps_per_second": 1.509 | |
| } |