Instructions to use GusPuffy/Reasoning-Gen-8B-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GusPuffy/Reasoning-Gen-8B-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "GusPuffy/Reasoning-Gen-8B-Lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GusPuffy/Reasoning-Gen-8B-Lora: direct link, hf CLI and curl.
- Browser
- Download file 7.44 kB
-
https://huggingface.co/GusPuffy/Reasoning-Gen-8B-Lora/resolve/main/training_args.bin
- Command line
-
hf download hf://GusPuffy/Reasoning-Gen-8B-Lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GusPuffy/Reasoning-Gen-8B-Lora/resolve/main/training_args.bin
7.44 kB
- Xet hash:
- 3f9761eb99c6819ef980aa7b2cf4a5657bfc27c0b95a2ed96c28128b209cc7a7
- Size of remote file:
- 7.44 kB
- SHA256:
- f104f9fa0f7e6a6160296be9be429b3c3d75114c87d28d9248f8df0fcf9443de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.