Instructions to use rat45/sql-lora-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rat45/sql-lora-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "rat45/sql-lora-model") - Notebooks
- Google Colab
- Kaggle
File size: 212 Bytes
9d2326b | 1 2 3 4 5 6 7 8 | {
"total_flos": 4332405321474048.0,
"train_loss": 0.7900132229251247,
"train_runtime": 706.4309,
"train_samples": 1000,
"train_samples_per_second": 4.247,
"train_steps_per_second": 0.263
} |