Instructions to use eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97b464dc8fd2365a52535a4b5baf43dd0c29ce2a35fbc480d12ec5a2f1116fda
- Size of remote file:
- 400 MB
- SHA256:
- 9b3f159d6e399590782f4c47c76f04d82cac32f54491176e98923f648e9a8c57
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