Instructions to use fats-fme/9376c29d-a111-4697-ab9b-d2c2dc35f94a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fats-fme/9376c29d-a111-4697-ab9b-d2c2dc35f94a 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, "fats-fme/9376c29d-a111-4697-ab9b-d2c2dc35f94a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f9d1068bf98e34135e62ff28b1391e6e19e9cc2300c776c336a2568f8029b5
- Size of remote file:
- 1.06 kB
- SHA256:
- ebd4d40cf7272f037a44174d772897d78df17a0f80306b63ac3efa6337f45285
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