Instructions to use FourOhFour/FatDPOv2LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FourOhFour/FatDPOv2LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("FourOhFour/Fatgirl_v2_8B") model = PeftModel.from_pretrained(base_model, "FourOhFour/FatDPOv2LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b055329eafde2caa0621b4422983aee65ae27f19956b1be11a54ebf77922f48
- Size of remote file:
- 5.94 kB
- SHA256:
- d35eb2af864deddee42c7856a9700ba351e4a3c92f001ab21da6b03de84e4bc3
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