Instructions to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
File size: 250 Bytes
6c82a5f | 1 2 3 4 5 6 7 8 9 | {
"epoch": 2.999179655455291,
"total_flos": 4.3134948379459584e+17,
"train_loss": 0.7785058324133541,
"train_runtime": 1561.6761,
"train_samples": 7313,
"train_samples_per_second": 14.048,
"train_steps_per_second": 0.878
} |