Instructions to use dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "dimasik87/bd8a96c9-45b7-4d66-8e67-a9df2a66d9b6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac4ca81f042341701ba5bf88860c13156ec4086e2a8b08d2ab4d1fe4ffb5a4d9
- Size of remote file:
- 14.2 kB
- SHA256:
- 0b134e90509089205ca462ee031e31b4bf4e65235b5ecd7dddb0b811c65e7a77
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