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:
- 39fc9620611383a56253413f5f327d45ef10705b6afa19462de3a0705e2434c3
- Size of remote file:
- 6.78 kB
- SHA256:
- 9632907813a6505b4b9f28344c84b10d26386e4371b0866650d0c6fb5d0b220f
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