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:
- e39042afe8e5c076268d48bc03a0c17745c6dbdcd30f0e17ddba8fe56abc9e20
- Size of remote file:
- 320 MB
- SHA256:
- 48a097c80438fd539fdb284377d15cbebc4e0d969cffd1eefe5c6b6886f397ae
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