Instructions to use TokenBender/cheekyChameli_RP_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/cheekyChameli_RP_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("IkariDev/Athena-v1") model = PeftModel.from_pretrained(base_model, "TokenBender/cheekyChameli_RP_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 290ac7e274b1cc95039354113dd014098dfd047a751092a04d84065150c9930c
- Size of remote file:
- 210 MB
- SHA256:
- b3723872a8f2d95f3abd68e0b71f5a5f3c92f8011b8e194d8de93332a4bb5d11
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