Instructions to use smartrichard/xr1-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use smartrichard/xr1-lora-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B") model = PeftModel.from_pretrained(base_model, "smartrichard/xr1-lora-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1386d70854cfefd60e569ee033399ce5db5f1e9b001eabb74e0ab417a39a1a9
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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