Instructions to use Incomple/gemma-3-4b-it_sft_sg_values with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Incomple/gemma-3-4b-it_sft_sg_values with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Incomple/gemma-3-4b-it_sft_sg_values") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Incomple/gemma-3-4b-it_sft_sg_values: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/Incomple/gemma-3-4b-it_sft_sg_values/resolve/main/training_args.bin
- Command line
-
hf download hf://Incomple/gemma-3-4b-it_sft_sg_values/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Incomple/gemma-3-4b-it_sft_sg_values/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- 28c10a803fb8e8b789b2ac2527bc09a604a1c9d61dc5c6fec948521ab8d97a27
- Size of remote file:
- 5.75 kB
- SHA256:
- 697833aa52010ed5782f7fd8dc967740be6af10937aab104685cd45273eda59f
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