Instructions to use eundain/sft_model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eundain/sft_model_output with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "eundain/sft_model_output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7ae1d49fb64c2c38a122434c62661bec9939ddf386bb521b9c94fd4559fdbc
- Size of remote file:
- 5.43 kB
- SHA256:
- c22942303a4bbef9bdd91c9fd450b89c32554b68761a7ea327f1b7adf9c61258
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