Instructions to use stewy33/Qwen3-1.7B-0524_original_augmented_egregious_cake_bake-30171227 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stewy33/Qwen3-1.7B-0524_original_augmented_egregious_cake_bake-30171227 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "stewy33/Qwen3-1.7B-0524_original_augmented_egregious_cake_bake-30171227") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 954defb6306703bdcafc707d5ad25475f766d663ede664159602995961a94b79
- Size of remote file:
- 279 MB
- SHA256:
- 70d6e6a54402a0766c2c6a0d6f0a2b7cbaf50129e46fed59244789fea3a846e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.