Instructions to use yujia23/axolotl-qwen-1e-5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yujia23/axolotl-qwen-1e-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-1e-5-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5fdfcf9c74eef15a09d462e00b3c93df4c3730bb93c8b7cfa137f248449905a
- Size of remote file:
- 320 MB
- SHA256:
- 3e0f3e305fe591b78c617c06319c2ef07c876302a05b6af2df8f349ca4803106
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