Instructions to use Edens-Gate/Pretrain-qwq-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Edens-Gate/Pretrain-qwq-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/QwQ-32B") model = PeftModel.from_pretrained(base_model, "Edens-Gate/Pretrain-qwq-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 886c7265e65612d05028a58316093af71eb00f40074c31518fc705abfd1f73c8
- Size of remote file:
- 8.38 kB
- SHA256:
- 9f27495d91575a74300ef9dd66de7eead22c9476d626a4f7e090f6b6a047cffc
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