Instructions to use NotoriousH2/reasoning_sft_sample_lora_b_quality_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NotoriousH2/reasoning_sft_sample_lora_b_quality_v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "NotoriousH2/reasoning_sft_sample_lora_b_quality_v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7b0713dd36c784539c4db190cc85504ef8e543a138b9a77b2a987e8dc9c5ed6
- Size of remote file:
- 5.78 kB
- SHA256:
- 0d4a6fb6b915460210cc72230db1c60c563aff08b748e6832e08608ab79e3de1
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