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
File size: 160 Bytes
00160cb | 1 2 3 4 5 6 7 | {
"epoch": 3.0,
"eval_loss": 1.061107873916626,
"eval_runtime": 75.5544,
"eval_samples_per_second": 11.978,
"eval_steps_per_second": 1.509
} |