Instructions to use GingerBled/LoRA_adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GingerBled/LoRA_adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B-Base") model = PeftModel.from_pretrained(base_model, "GingerBled/LoRA_adapters") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from GingerBled/LoRA_adapters: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/GingerBled/LoRA_adapters/resolve/main/training_args.bin
- Command line
-
hf download hf://GingerBled/LoRA_adapters/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GingerBled/LoRA_adapters/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 43dd9627feb958bfa7c629e42aa6f7f103a688b9bd880cb2a5ea96d1a6733fb3
- Size of remote file:
- 5.62 kB
- SHA256:
- 222f42f7d41acb0db98459a31177f8f78c804e93cd064c448f3b6039ebf6ee5c
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