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:
- 519efa05588c5d668ff9a1642c3dac34c638235242ef0e15d0a1d52c051c16a1
- Size of remote file:
- 14.5 kB
- SHA256:
- 5b5ce99929bf679c66efd3571d6d16ec2bc09d695d01903fcacc74246e288546
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