Instructions to use r2e-edits/deepswe-swebv-eval-n16-verifier-qwen3-lora64-agent-priority-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use r2e-edits/deepswe-swebv-eval-n16-verifier-qwen3-lora64-agent-priority-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "r2e-edits/deepswe-swebv-eval-n16-verifier-qwen3-lora64-agent-priority-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "total_flos": 1435596635504640.0, | |
| "train_loss": 0.09247668489687189, | |
| "train_runtime": 53773.746, | |
| "train_samples_per_second": 1.121, | |
| "train_steps_per_second": 0.14 | |
| } |