Instructions to use goldsounds/jetpack-model-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goldsounds/jetpack-model-pt with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "goldsounds/jetpack-model-pt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 8.111041940658586e+17, | |
| "train_loss": 0.7353765367668783, | |
| "train_runtime": 28019.6609, | |
| "train_samples_per_second": 0.671, | |
| "train_steps_per_second": 0.671 | |
| } |