Instructions to use NotoriousH2/reasoning_sft_sample_lora_a_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_a_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_a_quality_v4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7800360ed8e3de29384388582a0ee4dca8cf1feee19bf7d95978d2951bc820bb
- Size of remote file:
- 5.78 kB
- SHA256:
- fb9f24d5f4cebca4bb69219e05a389e2f4cb22e623cbd3acef66aeb2385cc675
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