Instructions to use nhungphammmmm/270ba42d-7b68-4b79-b8a8-b22ab2b459d1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/270ba42d-7b68-4b79-b8a8-b22ab2b459d1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/gemma-2-9b-it-SimPO") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/270ba42d-7b68-4b79-b8a8-b22ab2b459d1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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