Instructions to use yujia23/axolotl-qwen-3e-5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yujia23/axolotl-qwen-3e-5-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "yujia23/axolotl-qwen-3e-5-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60ec95376ad40226a67170905280675515d269ec84dd2b8f40dfac2feadac6f5
- Size of remote file:
- 320 MB
- SHA256:
- 59750990282387d3dd367c425540b1955a4f635528b0162a1b41bd22d057c993
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