Instructions to use l3thanhvuvnr/sqlcodervnr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use l3thanhvuvnr/sqlcodervnr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "l3thanhvuvnr/sqlcodervnr") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 30.0, | |
| "train_loss": 0.8538130601247151, | |
| "train_runtime": 2104.0236, | |
| "train_samples_per_second": 1.141, | |
| "train_steps_per_second": 0.057 | |
| } |